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Faculty
Jeffrey Blume
Quantitative Foundation Associate Dean for Academic and Faculty Affairs in Data Science
School of Data Science
Email: hjk6mw@virginia.edu
Phone: (434) 297-5117
Blume is a data scientist, administrator, and biostatistician, with vast experience building and leading academic programs. Most recently, Blume served as Director of Graduate Education at Vanderbilt’s Data Science Institute and Vice-Chair of Education in the Department of Biostatistics and was a tenured Professor of Biostatistics, with secondary appointments in Biomedical Informatics and Biochemistry at Vanderbilt. Throughout his career, he proposed and established the M.S. in Data Science at Vanderbilt University and established the Master of Public Health program at Brown University.
Blume’s areas of research and collaboration include radiology, cancer diagnosis and prediction, nephrology, translational biomedicine, fMRI, and women’s health. His published research is on a wide variety of topics, including evidential philosophy of statistical inference, likelihood methods, second-generation p-values, prediction modeling, mediation modeling, ROC curves, sequential testing, trial design, empirical Bayes methods for biomedical data, false discovery rates, model selection, and neuroimaging.
Blume holds a Ph.D. in Biostatistics from Johns Hopkins University and a B.A. in Statistics from the State University of New York at Buffalo.
Education
- Ph.D., Biostatistics, Johns Hopkins University
- B.A., Statistics, State University of New York at Buffalo
Data Science Domains
Analytics
Areas of Practice
Clinical Trials, Cancer Imaging, Radiology, Lung Cancer Screening, Nephrology, Structural Biology, Biostatistics
Methodologies
Statistical Inference, Large-Scale Inference, Prediction Modeling, Mediation Modeling, Empirical Bayes, Roc Modeling, Clinical Trials, Biostatistics
Selected Publications
Berg, W. A., Blume, J. D., Cormack, J. B., Mendelson, E. B., Lehrer, D., Böhm-Vélez, M., … ACRIN 6666 Investigators. (2008). Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. JAMA: The Journal of the American Medical Association, 299(18), 2151–2163. doi:10.1001/jama.299.18.2151
Schnall, Mitchell D., Blume, J., Bluemke, D. A., DeAngelis, G. A., DeBruhl, N., Harms, S., … Gatsonis, C. A. (2006). Diagnostic architectural and dynamic features at breast MR imaging: multicenter study. Radiology, 238(1), 42–53. doi:10.1148/radiol.2381042117
Lehman, C. D., Blume, J. D., Weatherall, P., Thickman, D., Hylton, N., Warner, E., … International Breast MRI Consortium Working Group. (2005). Screening women at high risk for breast cancer with mammography and magnetic resonance imaging. Cancer, 103(9), 1898–1905. doi:10.1002/cncr.20971
Hylton, Nola M., Blume, J. D., Bernreuter, W. K., Pisano, E. D., Rosen, M. A., Morris, E. A., … ACRIN 6657 Trial Team and I-SPY 1 TRIAL Investigators. (2012). Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy--results from ACRIN 6657/I-SPY TRIAL. Radiology, 263(3), 663–672. doi:10.1148/radiol.12110748
Dupuy, Damian E., Liu, D., Hartfeil, D., Hanna, L., Blume, J. D., Ahrar, K., … DiPetrillo, T. (2010). Percutaneous radiofrequency ablation of painful osseous metastases. Cancer, 116(4), 989–997. doi:10.1002/cncr.24837
Weinreb, J. C., Blume, J. D., Coakley, F. V., Wheeler, T. M., Cormack, J. B., Sotto, C. K., … Kurhanewicz, J. (2009). Prostate cancer: sextant localization at MR imaging and MR spectroscopic imaging before prostatectomy--results of ACRIN prospective multi-institutional clinicopathologic study. Radiology, 251(1), 122–133. doi:10.1148/radiol.2511080409
Gutman, R. E., Peipert, J. F., Weitzen, S., & Blume, J. (2005). Evaluation of clinical methods for diagnosing bacterial vaginosis. Obstetrics and Gynecology, 105(3), 551–556. doi:10.1097/01.AOG.0000145752.97999.67
Berg, W. A., Blume, J. D., Cormack, J. B., & Mendelson, E. B. (2006). Operator dependence of physician-performed whole-breast US: lesion detection and characterization. Radiology, 241(2), 355–365. doi:10.1148/radiol.2412051710
Peipert, J. F., Ness, R. B., Blume, J., Soper, D. E., Holley, R., Randall, H., … Pelvic Inflammatory Disease Evaluation and Clinical Health Study Investigators. (2001). Clinical predictors of endometritis in women with symptoms and signs of pelvic inflammatory disease. American Journal of Obstetrics and Gynecology, 184(5), 856–863; discussion 863-4. doi:10.1067/mob.2001.113847
Schnall, Mitchell D., Blume, J., Bluemke, D. A., Deangelis, G. A., Debruhl, N., Harms, S., … Gatsonis, C. A. (2005). MRI detection of distinct incidental cancer in women with primary breast cancer studied in IBMC 6883. Journal of Surgical Oncology, 92(1), 32–38. doi:10.1002/jso.20381
Deppen, S. A., Liu, E., Blume, J. D., Clanton, J., Shi, C., Jones-Jackson, L. B., … Walker, R. C. (2016). Safety and efficacy of 68Ga-DOTATATE PET/CT for diagnosis, staging, and treatment management of neuroendocrine tumors. Journal of Nuclear Medicine, 57(5), 708–714. doi:10.2967/jnumed.115.163865
Ertl-Wagner, Birgit B., Hoffmann, R.-T., Bruning, R., Herrmann, K., Snyder, B., Blume, J. D., & Reiser, M. F. (2004). Multi-detector row CT angiography of the brain at various kilovoltage settings. Radiology, 231(2), 528–535. doi:10.1148/radiol.2312030543
Berg, W. A., Blume, J. D., Adams, A. M., Jong, R. A., Barr, R. G., Lehrer, D. E., … Mendelson, E. B. (2010). Reasons women at elevated risk of breast cancer refuse breast MR imaging screening: ACRIN 6666. Radiology, 254(1), 79–87. doi:10.1148/radiol.2541090953
Shah, S. M., Demidova, E. V., Lesh, R. W., Hall, M. J., Daly, M. B., Meyer, J. E., … Arora, S. (2022). Therapeutic implications of germline vulnerabilities in DNA repair for precision oncology. Cancer Treatment Reviews, 104(102337), 102337. doi:10.1016/j.ctrv.2021.102337
Mericle, A. A., Slaymaker, V., Gliske, K., Ngo, Q., & Subbaraman, M. S. (2022). The role of recovery housing during outpatient substance use treatment. Journal of Substance Abuse Treatment, 133(108638), 108638. doi:10.1016/j.jsat.2021.108638
Johnson, N. L., Choi, S., & Herrera, C.-N. (2022). Black clients in expansion states who used opioids were more likely to access medication for opioid use disorder after ACA implementation. Journal of Substance Abuse Treatment, 133(108533), 108533. doi:10.1016/j.jsat.2021.108533
Schumm, J. A., & O’Farrell, T. J. (2022). A comparison of psychosocial adjustment among children of women who received behavioral couples therapy versus individually based therapy for substance use disorder. Journal of Substance Abuse Treatment, 133(108560), 108560. doi:10.1016/j.jsat.2021.108560
Lin, C., Clingan, S. E., Cousins, S. J., Valdez, J., Mooney, L. J., & Hser, Y.-I. (2022). The impact of COVID-19 on substance use disorder treatment in California: Service providers’ perspectives. Journal of Substance Abuse Treatment, 133(108544), 108544. doi:10.1016/j.jsat.2021.108544
Lin, L. A., Fortney, J. C., Bohnert, A. S. B., Coughlin, L. N., Zhang, L., & Piette, J. D. (2022). Comparing telemedicine to in-person buprenorphine treatment in U.S. veterans with opioid use disorder. Journal of Substance Abuse Treatment, 133(108492), 108492. doi:10.1016/j.jsat.2021.108492
Bart, G., Wastvedt, S., Hodges, J. S., & Rosenthal, R. (2022). Did drug use increase following COVID-19 relaxation of methadone take-out regulations? 2020 was a complicated year. Journal of Substance Abuse Treatment, 133(108590), 108590. doi:10.1016/j.jsat.2021.108590
Prichard, J., Wortley, R., Watters, P. A., Spiranovic, C., Hunn, C., & Krone, T. (2022). Effects of automated messages on internet users attempting to access “barely legal” pornography. Sexual Abuse: A Journal of Research and Treatment, 34(1), 106–124. doi:10.1177/10790632211013809
Hamilton, E. (2022). Toward a focused conceptualization of collateral consequences among individuals who sexually offend: A systematic review. Sexual Abuse: A Journal of Research and Treatment, 34(1), 3–23. doi:10.1177/1079063220981906
Walker, A., Butters, R. P., & Nichols, E. (2022). “I would report it even if they have not committed anything”: Social service students’ attitudes toward minor-attracted people. Sexual Abuse: A Journal of Research and Treatment, 34(1), 52–77. doi:10.1177/1079063221993480
Hall, O. T., Jordan, A., Teater, J., Dixon-Shambley, K., McKiever, M. E., Baek, M., … Fielin, D. A. (2022). Experiences of racial discrimination in the medical setting and associations with medical mistrust and expectations of care among black patients seeking addiction treatment. Journal of Substance Abuse Treatment, 133(108551), 108551. doi:10.1016/j.jsat.2021.108551
Henry, B. F., Campbell, A., Hunt, T., Johnson, J. K., Mandavia, A. D., Chaple, M., … El-Bassel, N. (2022). COVID-19 related substance use services policy changes: Policymaker perspectives on policy development & implementation. Journal of Substance Abuse Treatment, 133(108550), 108550. doi:10.1016/j.jsat.2021.108550
Morgan, J. R., Quinn, E. K., Chaisson, C. E., Ciemins, E., Stempniewicz, N., White, L. F., & Larochelle, M. R. (2022). Potential barriers to filling buprenorphine and naltrexone prescriptions among a retrospective cohort of individuals with opioid use disorder. Journal of Substance Abuse Treatment, 133(108540), 108540. doi:10.1016/j.jsat.2021.108540
Chopin, J., Paquette, S., & Beauregard, E. (2022). Is there an “expert” stranger rapist? Sexual Abuse: A Journal of Research and Treatment, 34(1), 78–105. doi:10.1177/1079063221993478
Del Palacio-Gonzalez, A., Hesse, M., Thylstrup, B., Pedersen, M. U., & Pedersen, M. M. (2022). Effects of contingency management and use of reminders for drug use treatment on readmission and criminality among young people: A linkage study of a randomized trial. Journal of Substance Abuse Treatment, 133(108617), 108617. doi:10.1016/j.jsat.2021.108617
Acknowledgement to reviewers 2021. (2022). Cancer Treatment Reviews, 103(102336), 102336. doi:10.1016/j.ctrv.2021.102336
Kurz, M., Min, J. E., Dale, L. M., & Nosyk, B. (2022). Assessing the determinants of completing OAT induction and long-term retention: A population-based study in British Columbia, Canada. Journal of Substance Abuse Treatment, 133(108647), 108647. doi:10.1016/j.jsat.2021.108647
C2: editorial board. (2022). Journal of Substance Abuse Treatment, 133(108702), 108702. doi:10.1016/s0740-5472(21)00428-1
TOC (update). (2022). Journal of Substance Abuse Treatment, 133(108703), 108703. doi:10.1016/s0740-5472(21)00429-3
Kidd, J. D., Paschen-Wolff, M. M., Mericle, A. A., Caceres, B. A., Drabble, L. A., & Hughes, T. L. (2022). A scoping review of alcohol, tobacco, and other drug use treatment interventions for sexual and gender minority populations. Journal of Substance Abuse Treatment, 133(108539), 108539. doi:10.1016/j.jsat.2021.108539
Appell, R. A., Sand, P., Dmochowski, R., Anderson, R., Zinner, N., Lama, D., … Overactive Bladder: Judging Effective Control and Treatment Study Group. (2001). Prospective randomized controlled trial of extended-release oxybutynin chloride and tolterodine tartrate in the treatment of overactive bladder: results of the OBJECT Study. Mayo Clinic Proceedings. Mayo Clinic, 76(4), 358–363. doi:10.1016/s0025-6196(11)62382-3
Liu, H.-M., Lin, H.-H., & Hsiao, S.-M. (2022). Predictors of cure and overactive bladder syndrome after a mid-urethral sling procedure in women with stress urinary incontinence. Maturitas, 156, 18–24. doi:10.1016/j.maturitas.2021.10.016
Toprak Celenay, S., Korkut, Z., Oskay, K., & Aydin, A. (2022). The effects of pelvic floor muscle training combined with Kinesio taping on bladder symptoms, pelvic floor muscle strength, and quality of life in women with overactive bladder syndrome: A randomized sham-controlled trial. Physiotherapy Theory and Practice, 38(2), 266–275. doi:10.1080/09593985.2020.1750079
Kopcsay, K. S., Marczak, T. D., Jeppson, P. C., Cameron, A. P., Khavari, R., Tefera, E., & Gutman, R. E. (2022). Treatment of refractory overactive bladder with OnabotulinumtoxinA vs PTNS: TROOP trial. International Urogynecology Journal. doi:10.1007/s00192-021-05030-3
Engin, S., Kaya Yasar, Y., Barut, E. N., Getboga, D., Erac, Y., & Sezen, S. F. (2022). The inhibitory effect of trimetazidine on detrusor contractility - a potential repositioning of trimetazidine for the treatment of overactive bladder. The Journal of Pharmacy and Pharmacology, 74(1), 94–102. doi:10.1093/jpp/rgab072
Akbar, A., Liu, K., Michos, E. D., Bancks, M. P., Brubaker, L., Markossian, T., … Kramer, H. (2022). Association of overactive bladder with hypertension and blood pressure control: The Multi-Ethnic Study of Atherosclerosis (MESA). American Journal of Hypertension, 35(1), 22–30. doi:10.1093/ajh/hpaa186
Barba, M., Lazar, T., Cola, A., Marino, G., Manodoro, S., & Frigerio, M. (2022). Learning curve of botulinum toxin bladder injection for the treatment of refractory overactive bladder. International Journal of Women’s Health, 14, 1–7. doi:10.2147/IJWH.S345454
Burzynski, B., Jurys, T., Kwiatkowska, K., Cempa, K., & Paradysz, A. (2022). Physiotherapeutic assessment and management of overactive bladder syndrome: a case report. Physiotherapy Theory and Practice, 1–8. doi:10.1080/09593985.2021.2022047
Ghavidel-Sardsahra, A., Ghojazadeh, M., Rahnama’I, M. S., Naseri, A., Yazdandoost, S., Khezerloo, T., … Hajebrahimi, S. (2022). Efficacy of percutaneous and transcutaneous posterior tibial nerve stimulation on idiopathic overactive bladder and interstitial cystitis/painful bladder syndrome: A systematic review and meta-analysis. Neurourology and Urodynamics. doi:10.1002/nau.24864
Rocha, A. P. R., Brusaca, L. A., Sousa, A. J. dos S., Oliveira, A. B., & Driusso, P. (2022). Should the preference-based index set of values be country- or disease-specific? An analysis using data from women with symptoms of overactive bladder. doi:10.21203/rs.3.rs-1247247/v1
Shawer, S., Khunda, A., Waring, G. J., & Ballard, P. (2022). Impact of intravesical onabotulinumtoxinA (Botox) on sexual function in patients with overactive bladder syndrome: a systematic review and meta-analysis. International Urogynecology Journal. doi:10.1007/s00192-021-05072-7
Te Dorsthorst, M., Digesu, A., van Kerrebroeck, P., Elneil, S., van Breda, J., Janssen, D., … Heesakkers, J. (2022). Patient-tailored healthcare and tibial nerve neuromodulation in the treatment of patients with overactive bladder symptoms. Neurourology and Urodynamics. doi:10.1002/nau.24873
Reynolds, W. S., Suskind, A. M., Anger, J. T., Brucker, B. M., Cameron, A. P., Chung, D. E., … SUFU Research Network. (2022). Incomplete bladder emptying and urinary tract infections after botulinum toxin injection for overactive bladder: Multi-institutional collaboration from the SUFU research network. Neurourology and Urodynamics. doi:10.1002/nau.24871
Clark, A. L. (2022). Overactive bladder, stress urinary incontinence, and menopause-what are the associations? Menopause (New York, N.Y.), Publish Ahead of Print. doi:10.1097/GME.0000000000001929
Moussa, R., Rada, M. P., Durnea, C., Falconi, G., Betschart, C., Haddad, J. M., … CHORUS: An International Collaboration for Harmonising Outcomes, Research and Standards in Urogynaecology and Women’s Health (i-chorus.org). (2022). Outcome reporting in randomized controlled trials (RCTs) on the pharmacological management of idiopathic overactive bladder (OAB) in women; a systematic review for the development of core outcome sets (COS). International Urogynecology Journal. doi:10.1007/s00192-021-05040-1
Harris, W. N., & Everaert, K. (2022). Overactive bladder as a key driver of nocturia: The argument against. European Urology Focus. doi:10.1016/j.euf.2021.12.015
Liu, Y., Xu, G., & Geng, J. (2022). Efficacy of transcutaneous electrical nerve stimulation in the management of neurogenic overactive bladder: A randomized controlled trial. American Journal of Physical Medicine & Rehabilitation, 101(1), 2–10. doi:10.1097/PHM.0000000000001836
Reynolds, W. S., Kaufman, M. R., Bruehl, S., Dmochowski, R. R., & McKernan, L. C. (2022). Compensatory bladder behaviors (“coping”) in women with overactive bladder. Neurourology and Urodynamics, 41(1), 195–202. doi:10.1002/nau.24788
Harte, S. E., Wiseman, J., Wang, Y., Smith, A. R., Yang, C. C., Helmuth, M., … LURN Study Group. (2022). Experimental pain and auditory sensitivity in overactive bladder syndrome: A symptoms of the Lower Urinary Tract Dysfunction Research Network (LURN) study. The Journal of Urology, 207(1), 161–171. doi:10.1097/JU.0000000000002147
Seinen, A. J., Elburg, R., Hollegien, L. M., Blanker, M. H., & Witte, L. P. W. (2022). The patient pathway for overactive bladder management: A quantitative analysis. Neurourology and Urodynamics, 41(1), 290–295. doi:10.1002/nau.24817
Sebesta, E. M., Connors, E. L., Rourke, E., Reynolds, W. S., & McKernan, L. C. (2022). Psychosocial factors in neurogenic lower urinary tract dysfunction: Implications for multidisciplinary care. Current Bladder Dysfunction Reports. doi:10.1007/s11884-021-00641-4
Sinha, S., Vasudeva, P., Bharadwaj, S., & Mittal, A. (2022). Role of pelvic organ crosstalk in dysfunction of the bowel and bladder. Current Bladder Dysfunction Reports. doi:10.1007/s11884-022-00645-8
Marantidis, J., & Sussman, R. D. (2022). Etiology and evaluation of female urethral strictures. Current Bladder Dysfunction Reports. doi:10.1007/s11884-021-00637-0
Cathomas, R., Lorch, A., Bruins, H. M., Compérat, E. M., Cowan, N. C., Efstathiou, J. A., … EAU Muscle-invasive, Metastatic Bladder Cancer Guidelines Panel. (2022). The 2021 updated European Association of Urology guidelines on metastatic urothelial carcinoma. European Urology, 81(1), 95–103. doi:10.1016/j.eururo.2021.09.026
Advanced Bladder Cancer (ABC) Meta-analysis Collaborators Group. (2022). Adjuvant chemotherapy for muscle-invasive bladder cancer: A systematic review and meta-analysis of individual participant data from randomised controlled trials. European Urology, 81(1), 50–61. doi:10.1016/j.eururo.2021.09.028
Gan, Z. S., & Smith, A. L. (2021). Questionnaires to evaluate lower urinary tract symptoms in men and women. Current Bladder Dysfunction Reports, 16(3), 80–86. doi:10.1007/s11884-021-00633-4
Cheng, N., & Fromer, D. (2021). Understanding the FDA device approval process in FPMRS. Current Bladder Dysfunction Reports, 16(3), 46–51. doi:10.1007/s11884-021-00630-7
Welk, B., Myers, J. B., Kennelly, M., McKibbon, M., Watson, J., Gervais, K., & Neurogenic Bladder Research Group. (2021). A qualitative assessment of psychosocial aspects that play a role in bladder management after spinal cord injury. Spinal Cord, 59(9), 978–986. doi:10.1038/s41393-020-00538-9
Couvaras, A., & Goudelocke, C. (2021). Optimizing lead placement in sacral neuromodulation. Current Bladder Dysfunction Reports, 16(3), 74–79. doi:10.1007/s11884-021-00634-3
Böthig, R., Kowald, B., Fiebag, K., Balzer, O., Tiburtius, C., Thietje, R., … Golka, K. (2021). Bladder management, severity of injury and period of latency: a descriptive study on 135 patients with spinal cord injury and bladder cancer. Spinal Cord, 59(9), 971–977. doi:10.1038/s41393-021-00651-3
Sheetz, T., Clemens, J. Q., & Crescenze, I. (2021). Neuroanatomy of bladder pain. Current Bladder Dysfunction Reports, 16(3), 41–45. doi:10.1007/s11884-021-00629-0
Choksi, D., Schott, B., Tran, K., & Khavari, R. (2021). Contemporary review of MRI in benign genitourinary pelvic medicine: What every urologist should know. Current Bladder Dysfunction Reports, 16(3), 52–63. doi:10.1007/s11884-021-00631-6
Stairs, J., Maguire, F., Lehmann, C., & Cox, A. (2021). Cannabinoid therapy in female pelvic medicine and reconstructive surgery: Current evidence and future directions. Current Bladder Dysfunction Reports, 16(3), 64–73. doi:10.1007/s11884-021-00632-5
Moghalu, O., Stoffel, J. T., Elliott, S., Welk, B., Lenherr, S., Herrick, J., … Neurogenic Bladder Research Group. (2021). Psychosocial aspects of health-related quality of life and the association with patient-reported bladder symptoms and satisfaction after spinal cord injury. Spinal Cord, 59(9), 987–996. doi:10.1038/s41393-020-00609-x
Pozo, C., Pradere, B., Rebhan, K., Chao, C., Yang, L., Abufaraj, M., & Shariat, S. F. (2021). Impact of intestinal urinary diversion on the risk of fracture and loss of bone mass: A systematic review. Bladder cancer (Amsterdam, Netherlands), 7(3), 365–376. doi:10.3233/blc-201526
Soloway, M. S. (2021). Challenging Cases in Urothelial Cancer: Case 21. Bladder cancer (Amsterdam, Netherlands), 7(3), 377–380. doi:10.3233/blc-219607
Rodríguez Cintas, M., Márquez, S., & González-Gallego, J. (2021). The impact of physical activity on risk and health-related quality of life in bladder cancer. Bladder cancer (Amsterdam, Netherlands), 7(3), 355–364. doi:10.3233/blc-200406
Messing, E. M. (2021). Iatrogenic causes of urothelial cancer of the upper urinary tract and bladder. Bladder cancer (Amsterdam, Netherlands), 7(3), 385–387. doi:10.3233/blc-219608
Lubet, R. A., Kumar, A., Fox, J. T., You, M., Mohammed, A., Juliana, M. M., & Grubbs, C. J. (2021). Efficacy of EGFR inhibitors and NSAIDs against basal bladder cancers in a rat model: Daily vs. Weekly dosing, combining EGFR inhibitors with naproxen, and effects on RNA expression. Bladder cancer (Amsterdam, Netherlands), 7(3), 335–345. doi:10.3233/blc-200423
Ballas, L. K., Niemierko, A., Mak, K. S., Drumm, M., & Efstathiou, J. A. (2021). Differences in quality of life between men and women who undergo bladder preservation with trimodality therapy. Bladder cancer (Amsterdam, Netherlands), 7(3), 279–284. doi:10.3233/blc-210013
Alipanahpour, S., Tayebi, N., Zarshenas, M., & Akbarzadeh, M. (2022). Therapeutic abortion methods in women referring to educational and medical centers in Shiraz. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210604110357
Bayrami, R., Ebrahimi, S., Rasouli, J., & Feizipour, H. (2022). Knowledge, attitude, and behavior in avoiding Environmental Tobacco Smoke exposure at home among pregnant women. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210719124534
Jain, H., Shivananda, R. P., Rao, S., Hegde, N., Paladugu, S., & Vasudeva, A. (2022). A relook into visceral slide test as a preoperative screening modality to detect abdominal wall adhesions: A prospective observational cohort study. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210805155219
Sangestani, G., Greco, P., Soltanian, A. R., & Khatiban, M. (2022). Risk factors for the Pap test cytological changes in Iran: A multicenter case-control study. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210105143335
Ramzy, N. I., Ibrahiam, W. S., Ali, H. H. M., Akle, M. M. A., & Khalifa, S. E. (2022). Possible role of PTEN expression in discriminating benign endometrial hyperplasia from atypical hyperplasia/endometrial intraepithelial neoplasia in a series of Egyptian patients. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210811125751
Alipour, A., Khazaei, L., & Khodakarim, S. (2022). Cesarean section rates before and after the implementation of Health Sector Evolution Plan in Iran: An interrupted time series analysis. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210604105751
Brodsky, A., Baumann, K., & Pothuri, B. (2022). Assessment of medical students’ knowledge of Lynch syndrome cancers, screening, and prevention. Current Women’s Health Reviews, 18(3). doi:10.2174/1573404817666210421120652
Sapkota, A., Karn, V. L., Chand, S., Shastry, C. S., & Pant, B. D. (2022). Knowledge and practice of menstrual hygiene among adolescent girls in Panauti Municipality, Kavrepalanchowk, Nepal: A study from low middle- income country. Current Women’s Health Reviews, 18(2). doi:10.2174/1573404817666210413120556
Mohammad, H. F., El-Khazragy⃰, N., Hassan, S., Abukra, F., Abdelrahman, R. M., Riad, A. A. M., & Abdelhafeez, M. A. (2022). HE4 is a Beneficial Biomarker in Endometrial Adenocarcinoma. Current Women’s Health Reviews, 18(2). doi:10.2174/1573404817666210310162554
Alavi, E. R., Alavi, N. R., Alavi, R. R., & Farokhi, E. (2022). Brucellosis serostatus among pregnant women with spontaneous abortion and stillbirth. Current Women’s Health Reviews, 18(2). doi:10.2174/1573404817666210421115252
Mokhtar, N. F., Dewadas, H. D., Haron, J., Yahya, M. M., Norsa’adah, B., Zain, W. Z. W., … Zin, R. R. M. (2022). Challenges in breast cancer control in Malaysia. Current Women’s Health Reviews, 18(2). doi:10.2174/1573404817666210322153238
Vanterpool, K. B., Yarber, W. L., Rosenberg, M., Mowatt, R. A., & Garcia, J. R. (2022). Association of Black women’s perceptions of the sex ratio to their attitudes toward and experiences of intimate partner violence. Violence against Women, 28(3–4), 946–965. doi:10.1177/10778012211013900
Gormley, R., Nicholson, V., Parry, R., Lee, M., Webster, K., Sanchez, M., … CHIWOS Research Team. (2022). Help-seeking to cope with experiences of violence among women living with HIV in Canada. Violence against Women, 28(3–4), 823–850. doi:10.1177/10778012211019047
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Kroncke, B. M., Duran, A. M., Mendenhall, J. L., Meiler, J., Blume, J. D., & Sanders, C. R. (2016). Documentation of an imperative to improve methods for predicting membrane protein stability. Biochemistry, 55(36), 5002–5009. doi:10.1021/acs.biochem.6b00537
Peipert, J., Redding, C. A., Blume, J., Allsworth, J. E., Iannuccillo, K., Lozowski, F., … Rossi, J. S. (2007). Design of a stage-matched intervention trial to increase dual method contraceptive use (Project PROTECT). Contemporary Clinical Trials, 28(5), 626–637. doi:10.1016/j.cct.2007.01.012
Crisco, J. J., Blume, J., Teeple, E., Fleming, B. C., & Jay, G. D. (2007). Assuming exponential decay by incorporating viscous damping improves the prediction of the coefficient of friction in pendulum tests of whole articular joints. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine, 221(3), 325–333. doi:10.1243/09544119JEIM248
Boardman, L. A., Meinz, H., Steinhoff, M. M., Heber, W. W., & Blume, J. (2003). A randomized trial of the sleeved cytobrush and the endocervical curette. Obstetrics and Gynecology, 101(3), 426–430. doi:10.1016/s0029-7844(02)02713-8
Lehman, C. D., Blume, J. D., DeMartini, W. B., Hylton, N. M., Herman, B., & Schnall, M. D. (2013). Accuracy and interpretation time of computer-aided detection among novice and experienced breast MRI readers. AJR. American Journal of Roentgenology, 200(6), W683-9. doi:10.2214/AJR.11.8394
Choi, L., Blume, J. D., & Dupont, W. D. (2015). Elucidating the foundations of statistical inference with 2 x 2 tables. PloS One, 10(4), e0121263. doi:10.1371/journal.pone.0121263
Barocas, D. A., Gray, D. T., Fowke, J. H., Mercaldo, N. D., Blume, J. D., Chang, S. S., … Penson, D. F. (2012). Racial variation in the quality of surgical care for prostate cancer. The Journal of Urology, 188(4), 1279–1285. doi:10.1016/j.juro.2012.06.037
Ward, R. M., Hampton, B. S., Blume, J. D., Sung, V. W., Rardin, C. R., & Myers, D. L. (2008). The impact of multichannel urodynamics upon treatment recommendations for female urinary incontinence. International Urogynecology Journal and Pelvic Floor Dysfunction, 19(9), 1235–1241. doi:10.1007/s00192-008-0610-2
Kroncke, B. M., Glazer, A. M., Smith, D. K., Blume, J. D., & Roden, D. M. (2018). SCN5A (NaV1.5) variant functional perturbation and clinical presentation: Variants of a certain significance. Circulation. Genomic and Precision Medicine, 11(5), e002095. doi:10.1161/CIRCGEN.118.002095
Blume, J. D., Su, L., Olveda, R. M., & McGarvey, S. T. (2007). Statistical evidence for GLM regression parameters: a robust likelihood approach. Statistics in Medicine, 26(15), 2919–2936. doi:10.1002/sim.2759
Abdel-Kader, K., Girard, T. D., Brummel, N. E., Saunders, C. T., Blume, J. D., Clark, A. J., … Siew, E. D. (2018). Acute kidney injury and subsequent frailty status in survivors of critical illness: A secondary analysis. Critical Care Medicine, 46(5), e380–e388. doi:10.1097/CCM.0000000000003003
Blume, J. D. (2011). Likelihood and its evidential framework. In Philosophy of Statistics (bll 493–511). doi:10.1016/b978-0-444-51862-0.50014-9
Fletcher Mercaldo, S., & Blume, J. D. (2020). Missing data and prediction: the pattern submodel. Biostatistics (Oxford, England), 21(2), 236–252. doi:10.1093/biostatistics/kxy040
Li, B., Mendenhall, J. L., Kroncke, B. M., Taylor, K. C., Huang, H., Smith, D. K., … Meiler, J. (2017). Predicting the functional impact of KCNQ1 variants of unknown significance. Circulation. Cardiovascular Genetics, 10(5). doi:10.1161/circgenetics.117.001754
Ertl-Wagner, Birgit B., Blume, J. D., Peck, D., Udupa, J. K., Herman, B., Levering, A., … Members of the American College of Radiology Imaging Network 6662 Study Group. (2009). Reliability of tumor volume estimation from MR images in patients with malignant glioma. Results from the American College of Radiology Imaging Network (ACRIN) 6662 Trial. European Radiology, 19(3), 599–609. doi:10.1007/s00330-008-1191-7
Ertl-Wagner, B., Eftimov, L., Blume, J., Bruening, R., Becker, C., Cormack, J., … Reiser, M. (2008). Cranial CT with 64-, 16-, 4- and single-slice CT systems-comparison of image quality and posterior fossa artifacts in routine brain imaging with standard protocols. European Radiology, 18(8), 1720–1726. doi:10.1007/s00330-008-0937-6
Hoch, J. S., & Blume, J. D. (2008). Measuring and illustrating statistical evidence in a cost-effectiveness analysis. Journal of Health Economics, 27(2), 476–495. doi:10.1016/j.jhealeco.2007.07.002
Sealy, L., Saunders, C., Blume, J., & Chalkley, R. (2019). The GRE over the entire range of scores lacks predictive ability for PhD outcomes in the biomedical sciences. PloS One, 14(3), e0201634. doi:10.1371/journal.pone.0201634
Kauffmann, R. M., Norris, P. R., Jenkins, J. M., Dupont, W. D., Torres, R. E., Blume, J. D., … May, A. K. (2011). Trends in estradiol during critical illness are associated with mortality independent of admission estradiol. Journal of the American College of Surgeons, 212(4), 703–712; discussion 712-3. doi:10.1016/j.jamcollsurg.2010.12.017
Blume, J. D. (2009). Bounding sample size projections for the area under a ROC curve. Journal of Statistical Planning and Inference, 139(1), 711–721. doi:10.1016/j.jspi.2007.09.015
Ertl-Wagner, Birgit B., Bruening, R., Blume, J., Hoffmann, R.-T., Snyder, B., Herrmann, K. A., & Reiser, M. F. (2005). Prospective, multireader evaluation of image quality and vascular delineation of multislice CT angiography of the brain. European Radiology, 15(5), 1051–1059. doi:10.1007/s00330-005-2689-x
Blume, J. D., & Royall, R. M. (2003). Illustrating the law of large numbers (and confidence intervals). The American statistician, 57(1), 51–57. doi:10.1198/0003130031081
Jones, C. C., Mercaldo, S. F., Blume, J. D., Wenzlaff, A. S., Schwartz, A. G., Chen, H., … Aldrich, M. C. (2018). Racial disparities in lung cancer survival: The contribution of stage, treatment, and ancestry. Journal of Thoracic Oncology: Official Publication of the International Association for the Study of Lung Cancer, 13(10), 1464–1473. doi:10.1016/j.jtho.2018.05.032
Maiga, A. W., Deppen, S. A., Mercaldo, S. F., Blume, J. D., Montgomery, C., Vaszar, L. T., … Grogan, E. L. (2018). Assessment of fluorodeoxyglucose F18–labeled positron emission tomography for diagnosis of high-risk lung nodules. JAMA surgery, 153(4), 329. doi:10.1001/jamasurg.2017.4495
Blume, J. D. (2008). How often likelihood ratios are misleading in sequential trials. Communications in Statistics: Theory and Methods, 37(8), 1193–1206. doi:10.1080/03610920701713336
Virostko, J., Hainline, A., Kang, H., Arlinghaus, L. R., Abramson, R. G., Barnes, S. L., … Sorace, A. G. (2017). Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis. Journal of medical imaging (Bellingham, Wash.), 5(01), 1. doi:10.1117/1.jmi.5.1.011011
Schnall, M. D., Blume, J., Bluemke, D., Smazal, S., Deangelis, G., Harms, S., … Gatsonis, C. (2004). MRI detection of multi focal breast carcinoma: Report from the International Breast MRI Consortium. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 22(14_suppl), 504–504. doi:10.1200/jco.2004.22.90140.504
Blume, J. D. (2006). How to choose a working model for measuring the statistical evidence about a regression parameter. Revue Internationale de Statistique [International Statistical Review], 73(3), 351–363. doi:10.1111/j.1751-5823.2005.tb00153.x
Kroncke, B. M., Mendenhall, J., Smith, D. K., Sanders, C. R., Capra, J. A., George, A. L., … Roden, D. M. (2019). Protein structure aids predicting functional perturbation of missense variants in SCN5A and KCNQ1. Computational and Structural Biotechnology Journal, 17, 206–214. doi:10.1016/j.csbj.2019.01.008
Smith, L. E., Smith, D. K., Blume, J. D., Linton, M. F., & Billings, F. T., 4th. (2017). High-density lipoprotein cholesterol concentration and acute kidney injury after cardiac surgery. Journal of the American Heart Association, 6(12). doi:10.1161/JAHA.117.006975
Hylton, N., Blume, J., Gatsonis, C., Gomez, R., Bernreuter, W., Pisano, E., … Schnall, M. (2009). MRI tumor volume for predicting response to neoadjuvant chemotherapy in locally advanced breast cancer: Findings from ACRIN 6657/CALGB 150007. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 27(15_suppl), 529–529. doi:10.1200/jco.2009.27.15_suppl.529
Vandekar, S., Tao, R., & Blume, J. (2020a). A robust effect size index. Psychometrika, 85(1), 232–246. doi:10.1007/s11336-020-09698-2
Wang, S.-J., & Blume, J. D. (2011). An evidential approach to non-inferiority clinical trials. Pharmaceutical Statistics, 10(5), 440–447. doi:10.1002/pst.513
Deppen, S. A., Massion, P. P., Blume, J., Walker, R. C., Antic, S., Chen, H., … Grogan, E. L. (2019). Accuracy of a novel histoplasmosis enzyme immunoassay to evaluate suspicious lung nodules. Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, 28(2), 321–326. doi:10.1158/1055-9965.EPI-18-0169
Saunders, C. T., & Blume, J. D. (2018). A classical regression framework for mediation analysis: fitting one model to estimate mediation effects. Biostatistics (Oxford, England), 19(4), 514–528. doi:10.1093/biostatistics/kxx054
Orsi, M. D., Dodd, G. D., 3rd, Cardan, R. A., Head, H. W., Burns, S. K., Blakemore, D., … Green, T. J. (2011). In vitro blood-perfused bovine liver model: a physiologic model for evaluation of the performance of radiofrequency ablation devices. Journal of Vascular and Interventional Radiology: JVIR, 22(10), 1478–1483. doi:10.1016/j.jvir.2011.06.013
Kang, Hakmook, Blume, J., Ombao, H., & Badre, D. (2015). Simultaneous control of error rates in fMRI data analysis. NeuroImage, 123, 102–113. doi:10.1016/j.neuroimage.2015.08.009
Danford, J. M., White, N. C., New, M., Fletcher, S., Blume, J. D., & Ward, R. M. (2014). The fellowship effect: how the establishment of a fellowship in female pelvic medicine and reconstructive surgery affected resident vaginal hysterectomy training. American Journal of Obstetrics and Gynecology, 211(5), 559.e1-6. doi:10.1016/j.ajog.2014.07.017
Blume, J., & Peipert, J. F. (2004). Randomization in controlled clinical trials: why the flip of a coin is so important. The Journal of the American Association of Gynecologic Laparoscopists, 11(3), 320–325. doi:10.1016/s1074-3804(05)60043-6
Burns, S. K., Dodd, G. D., 3rd, McManus, L. M., Cardan, R. A., Peng, Q., Orsi, M. D., … Green, T. J. (2012). 3T magnetic resonance imaging accurately depicts radiofrequency ablation zones in a blood-perfused bovine liver model. Journal of Vascular and Interventional Radiology: JVIR, 23(6), 801–808. doi:10.1016/j.jvir.2012.01.076
Blume, J. D. (2013). Likelihood and composite hypotheses [comment on “A likelihood paradigm for clinical trials”]. Journal of Statistical Theory and Practice, 7(2), 183–186. doi:10.1080/15598608.2013.771548
Hylton, N. M., Blume, J. D., Bernreuter, W. K., Pisano, E. D., Rosen, M. A., Morris, E. A., … I-SPY TRIAL Investigators. (2009, Januarie 15). Comparison of MRI endpoints for assessing breast cancer response to neoadjuvant treatment: preliminary findings of the American College of Radiology Imaging Network (ACRIN) trial 6657. Poster Session Abstracts. Presented at the CTRC-AACR San Antonio Breast Cancer Symposium: 2008 Abstracts. doi:10.1158/0008-5472.sabcs-6043
Plante, Beth J., Blume, J. D., Lambert-Messerlian, G., Shackelton, R., Canick, J., & Phipps, M. G. (2008). A multiple marker model to predict pregnancy viability when progesterone is indeterminate. The Journal of Reproductive Medicine, 53(4), 243–249. Opgehaal van https://www.ncbi.nlm.nih.gov/pubmed/18472646
Smith, L. E., Smith, D. K., Blume, J. D., Siew, E. D., & Billings, F. T., IV. (2017). Latent variable modeling improves AKI risk factor identification and AKI prediction compared to traditional methods. BMC Nephrology, 18(1). doi:10.1186/s12882-017-0465-1
Maiga, A., Farjah, F., Blume, J., Deppen, S., Welty, V. F., D’Agostino, R. S., … Grogan, E. L. (2019). Risk prediction in clinical practice: A practical guide for cardiothoracic surgeons. The Annals of Thoracic Surgery, 108(5), 1573–1582. doi:10.1016/j.athoracsur.2019.04.126
Funke, B. E., Jackson, K. E., Self, W. H., Collins, S. P., Saunders, C. T., Wang, L., … Pragmatic Critical Care Research Group. (2021). Effect of balanced crystalloids versus saline on urinary biomarkers of acute kidney injury in critically ill adults. BMC Nephrology, 22(1), 54. doi:10.1186/s12882-021-02236-x
Kroncke, B. M., Smith, D. K., Zuo, Y., Glazer, A. M., Roden, D. M., & Blume, J. D. (2020). A Bayesian method to estimate variant-induced disease penetrance. PLoS Genetics, 16(6), e1008862. doi:10.1371/journal.pgen.1008862
Chaganti, S., Welty, V. F., Taylor, W., Albert, K., Failla, M. D., Cascio, C., … Landman, B. A. (2019). Discovering novel disease comorbidities using electronic medical records. PloS One, 14(11), e0225495. doi:10.1371/journal.pone.0225495
Kroncke, B. M., Smith, D. K., Glazer, A. M., Roden, D. M., & Blume, J. D. (2019). A Bayesian method using sparse data to estimate penetrance of disease-associated genetic variants. doi:10.1101/571158
Smith, D. K., Smith, L. E., Billings, F. T., 4th, & Blume, J. D. (2017). A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury. Diagnostic and Prognostic Research, 1(1), 21. doi:10.1186/s41512-017-0022-1
Dk, S., B, B., M, M., & Jd, B. (2017). Comparison of digital measurement versus physical model measurement: An analysis of accuracy and precision. Dental Health Current Research, 03(01). doi:10.4172/2470-0886.1000124
Zuo, Y., Stewart, T. G., & Blume, J. D. (2021b). Variable selection with second-generation P-values. The American Statistician, 1–11. doi:10.1080/00031305.2021.1946150
Saunders, C. T., & Blume, J. D. (2019). A regression framework for causal mediation analysis with applications to behavioral science. Multivariate Behavioral Research, 54(4), 555–577. doi:10.1080/00273171.2018.1552109
Hill, B., Fletcher, S., Blume, J., Adam, R., & Ward, R. (2019). Volume at first leak is associated with sling failure among women with stress urinary incontinence. Female Pelvic Medicine & Reconstructive Surgery, 25(4), 294–297. doi:10.1097/SPV.0000000000000549
Aldrich, M., Mercaldo, S., Sandler, K., Blot, W., Grogan, E., & Blume, J. (2018). MA20.05 who gets screened for lung cancer? A simple adjustment to current guidelines to reduce racial disparities. Journal of Thoracic Oncology: Official Publication of the International Association for the Study of Lung Cancer, 13(10), S426–S427. doi:10.1016/j.jtho.2018.08.485
Blume, J. D., & Choi, L. (2017). Likelihood based study designs for time-to-event endpoints. Opgehaal van http://arxiv.org/abs/1711.01527
Hill, Bryan J., Fletcher, S., Blume, J., Adam, R., & Ward, R. (2017). Variables affecting maximum urethral closure pressure (MUCP) and abdominal leak point pressure (ALPP) measurements. International Urogynecology Journal, 28(11), 1651–1656. doi:10.1007/s00192-017-3331-6
Mercaldo, S. F., & Blume, J. D. (2017b). Missing Data and Prediction. Opgehaal van http://arxiv.org/abs/1704.08192
Dupont, W. D., Blume, J. D., & Smith, J. R. (2016). [Review of Building and validating complex models of breast cancer risk]. JAMA oncology, 2(10), 1271–1272. doi:10.1001/jamaoncol.2016.0878
Dupuy, D. E., Liu, D., Hartfeil, D., Hanna, L., Blume, J., Ahrar, K., … Mayo-Smith, W. (2007). Percutaneous radiofrequency ablation of painful osseous metastases: A multicenter trial: American College of Radiology Imaging Network 6661. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 25(18_suppl), 9101–9101. doi:10.1200/jco.2007.25.18_suppl.9101
Zuo, Y., Stewart, T. G., & Blume, J. D. (2021a). Variable selection in GLM and Cox models with Second-Generation P-Values. Opgehaal van http://arxiv.org/abs/2109.09851
Kozek, K., Wada, Y., Sala, L., Denjoy, I., Egly, C., O’Neill, M. J., … Kroncke, B. M. (2021). Estimating the posttest probability of long QT syndrome diagnosis for rare KCNH2 variants. Circulation. Genomic and Precision Medicine, 14(4), e003289. doi:10.1161/CIRCGEN.120.003289
Murray, Megan H., & Blume, J. D. (2021). FDRestimation: Flexible false discovery rate computation in R. F1000Research, 10, 441. doi:10.12688/f1000research.52999.2
Murray, Megan Hollister, & Blume, J. D. (2020). False Discovery Rate Computation: Illustrations and Modifications. Opgehaal van http://arxiv.org/abs/2010.04680
Hansen, C. B., Nath, V., Gao, R., Bermudez, C., Huo, Y., Sandler, K. L., … Landman, B. A. (2020). Semi-supervised machine learning with MixMatch and equivalence classes. In Lecture notes in computer science. Interpretable and Annotation-Efficient Learning for Medical Image Computing (bll 112–121). doi:10.1007/978-3-030-61166-8_12
Hollister, M. C., & Blume, J. D. (2020). 4497 accessible false discovery rate computation. Journal of Clinical and Translational Science, 4(s1), 44–44. doi:10.1017/cts.2020.164
Vandekar, S., Tao, R., & Blume, J. (2020b). A robust effect size index. Psychometrika, 85(1), 232–246. doi:10.1007/s11336-020-09698-2
Biostatistics volume 21 2020. (2020). Biostatistics (Oxford, England). doi:10.1093/biostatistics/kxaa042
Aldrich, M. C., Blot, W. J., & Blume, J. D. (2020). Defining equity in eligibility for cancer screening-reply. JAMA Oncology, 6(1), 156–157. doi:10.1001/jamaoncol.2019.4604
Stewart, T. G., & Blume, J. D. (2019). Second-generation P-values, shrinkage, and regularized models. Frontiers in ecology and evolution, 7. doi:10.3389/fevo.2019.00486
Haddad, D. N., Welty, V. F., Blume, J. D., Hawkins, A. T., Sweeting, R. S., Grogan, E. L., & Aldrich, M. C. (2019). Understanding barriers to surgical cancer care in the southern community cohort study. Journal of the American College of Surgeons, 229(4), S168. doi:10.1016/j.jamcollsurg.2019.08.369
Shipe, M., Maiga, A., Deppen, S., Welty, V., Blume, J., Aldrich, M., … Grogan, E. (2019). EP1.11-24 the TREAT model 2.0: Predicting lung cancer in patients seeking care in high-risk clinics. Journal of Thoracic Oncology: Official Publication of the International Association for the Study of Lung Cancer, 14(10), S1015–S1016. doi:10.1016/j.jtho.2019.08.2245
Aldrich, M. C., Mercaldo, S. F., Sandler, K. L., Blot, W. J., Grogan, E. L., & Blume, J. D. (2019b). Evaluation of USPSTF lung cancer screening guidelines among African American adult smokers. JAMA Oncology, 5(9), 1318–1324. doi:10.1001/jamaoncol.2019.1402
Funke, B., Jackson, K. E., Siew, E. D., Saunders, C. T., Blume, J. D., Self, W. H., … Semler, M. W. (2019, Mei). Intravenous crystalloid composition does not affect urinary kidney injury molecule-1 levels among critically ill adults. D51. CRITICAL CARE: THE FOUNTAINHEAD - FLUIDS, MONITORING AND MANAGEMENT OF SHOCK. Presented at the American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. doi:10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a6707
Jackson, K., Funke, B. E., Siew, E. D., Rice, T. W., Self, W. H., Saunders, C. T., … Semler, M. W. (2019, Mei). Balanced crystalloids are associated with lower urinary neutrophil gelatinase-associated lipocalin (NGAL) levels than saline in critically ill adults. D25. CRITICAL CARE: HARD TIMES - RESUSCITATING MY PATIENT: FLUID, BLOOD AND OTHER STRATEGIES. Presented at the American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. doi:10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5992
Hollister, M. C., & Blume, J. D. (2019). 3145 an evaluation of machine learning and traditional statistical methods for discovery in large-scale translational data. Journal of Clinical and Translational Science, 3(s1), 2–2. doi:10.1017/cts.2019.8
Index. (2018). Biostatistics (Oxford, England), 19(4), 595–598. doi:10.1093/biostatistics/kxy065
Smith, D. K., Smith, L. E., Kroncke, B., Billings, F. T., Meiler, J., & Blume, J. (2017). An empirical Bayes approach to regularization using previously published models. Opgehaal van http://arxiv.org/abs/1710.03866
Mercaldo, S. F., & Blume, J. D. (2017a). Bagged empirical null p-values: A method to account for model uncertainty in large scale inference. Opgehaal van http://arxiv.org/abs/1707.05833
Mercaldo, S. F., & Blume, J. D. (2017c). Missing Data and Prediction. Opgehaal van http://arxiv.org/abs/1704.08192
Dk, S., Le, S., & Jd, B. (2017). Estimation of anesthetic success rates: The efficacy of articaine versus lidocaine. Dental Health Current Research, 03(01). doi:10.4172/2470-0886.1000125
Blume, J. D. (2016). Methods for studies of diagnostic tests. In Handbook for Clinical Trials of Imaging and Image-Guided Interventions (bll 147–169). doi:10.1002/9781118849712.ch9
Hill, B. J., Fletcher, S. A., Blume, J., & Ward, R. M. (2016). 43: Variables affecting maximum urethral closure pressure (MUCP) and abdominal leak point pressure (ALPP) measurements. American journal of obstetrics and gynecology, 214(4), S490. doi:10.1016/j.ajog.2016.01.074
Bertolaccini, L., Terzi, A., & Salgarello, M. (2015). [Review of The importance of being solid or partially solid for a solitary pulmonary nodule]. Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer, 10(2), e8. doi:10.1097/JTO.0000000000000430
Deppen, S. A., Blume, J., & Grogan, E. L. (2015). [Review of A reply to Bertolaccini et al]. Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer, 10(2), e8-9. doi:10.1097/JTO.0000000000000440
Blume, J. D., Deppen, S. A., & Grogan, E. L. (2015). [Review of Heterogeneity in meta-analysis of FDG-PET studies to diagnose lung cancer--reply]. JAMA: the journal of the American Medical Association, 313(4), 419–420. doi:10.1001/jama.2014.16485
Danford, J., White, N. C., Fletcher, S. A., Blume, J., & Ward, R. M. (2014). The fellowship effect: How establishment of an FPMRS fellowship affected resident vaginal hysterectomy training. Journal of minimally invasive gynecology, 21(2), S5. doi:10.1016/j.jmig.2013.12.014
Barocas, D., Gray, D., Fowke, J., Kappa, S., Blume, J., Mercaldo, N., … Penson, D. (2011). 73 racial variation in the utilization of high-volume surgeons and hospitals for radical prostatectomy. The Journal of Urology, 185(4S), e31–e32. doi:10.1016/j.juro.2011.02.137
Kang, H., Ombao, H., Blume, J., Bedard, P., & Sanes, J. (2009). Evaluating evidence of activation in fMRI via a novel likelihood paradigm. NeuroImage, 47, S80. doi:10.1016/s1053-8119(09)70558-0
Plante, B. J., Phipps, M. G., Blume, J. D., Lambert-Messerlian, G., Shackelton, R., & Canick, J. (2005). A multiple marker model to predict pregnancy viability when progesterone is indeterminate. Fertility and Sterility, 84, S154. doi:10.1016/j.fertnstert.2005.07.374
Lew, R. M., Cwiak, C. A., Truitt, S. T., Jensen, J. T., Nichols, M. D., & Edelman, A. B. (2005). Acceptability of contraceptive-induced amenorrhea in American women. Obstetrics and Gynecology, 105(Supplement), 13S. doi:10.1097/01.aog.0000153264.77633.ab
Baker, E., & Ahrendt, H.-J. (2005). A one-year randomized trial comparing body weight and user acceptability with NuvaRing and Yasmin. Obstetrics and Gynecology, 105(Supplement), 53S. doi:10.1097/01.aog.0000153509.19172.cd
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