Department of Biostatistics

Displaying 251 - 300 of 867CSV
Levin, B., & Learned-Miller, E. (2024). Log-concavity of multinomial likelihood functions under interval censoring constraints on frequencies or their partial sums. Statistics & Probability Letters, 207, 110039. https://doi.org/10.1016/j.spl.2024.110039
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Cho, Y., Guadarrama-Sanz, M., Molina, I., Eideh, A., & Berg, E. (2024). Optimal Predictors of General Small Area Parameters Under an Informative Sample Design Using Parametric Sample Distribution Models. Journal of Survey Statistics and Methodology, 12(5), 1430–1463. https://doi.org/10.1093/jssam/smae007
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Dugue, R., Kim, C., Boruah, A., Harrigan, E., Sun, Y., & Thakur, K. T. (2024). Time to Confirmed Neuroinfectious Diagnoses: Diagnostic Testing and Resource Allocation. The Neurohospitalist, 14(3), 296–300. https://doi.org/10.1177/19418744241242957
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Wu, X., Mealli, F., Kioumourtzoglou, M.-A., Dominici, F., & Braun, D. (2022). Matching on Generalized Propensity Scores with Continuous Exposures. Journal of the American Statistical Association, 119(545), 757–772. https://doi.org/10.1080/01621459.2022.2144737
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Sullan, M. J., Stearns-Yoder, K. A., Wang, Z., Hoisington, A. J., Bramoweth, A. D., Carr, W., Ge, Y., Galfalvy, H., Haghighi, F., & Brenner, L. A. (2024). Study protocol: Identifying transcriptional regulatory alterations of chronic effects of blast and disturbed sleep in United States Veterans. PLOS ONE, 19(3), e0301026. https://doi.org/10.1371/journal.pone.0301026
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Jia, H., & Lubetkin, E. I. (2024). Relative importance of selected predictors of health-related quality-of-life (HRQOL) among U.S. adults. Quality of Life Research, 33(6), 1633–1645. https://doi.org/10.1007/s11136-024-03632-0
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Concepción-González, A., Sarmiento, J. M., Rymond, C. C., Ezeh, C., Sinha, R., Lin, H., Lu, K., Boby, A. Z., Gorroochurn, P., Larson, A. N., Roye, B. D., Ilharreborde, B., Vitale, M. G., Wood, R., Marks, M., Hasler, C., Castelein, R., Pesenta, S., … Helenius, I. (2024). Evaluating compliance with the best practice guidelines for wrong-level surgery prevention in high-risk pediatric spine surgery. Spine Deformity, 12(4), 923–932. https://doi.org/10.1007/s43390-024-00836-9
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Destrieux, L., Yemmas, Y., Williams, S., & Le Meur, N. (2024). Work Environment Differences Between Outpatient and Inpatient Surgery: A Pilot Study on the Vascular Surgeons’ Perceptions. Annals of Vascular Surgery, 104, 156–165. https://doi.org/10.1016/j.avsg.2023.12.080
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Pisano, C. E., Trager, M. H., Fan, W., & Samie, F. H. (2024). Surgical margins and outcomes for eyelid melanoma: a systematic review and meta-analysis. Archives of Dermatological Research, 316(4). https://doi.org/10.1007/s00403-024-02834-3
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Ye, T., Liu, Z., Sun, B., & Tchetgen Tchetgen, E. (2024). GENIUS-MAWII: for robust Mendelian randomization with many weak invalid instruments. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(4), 1045–1067. https://doi.org/10.1093/jrsssb/qkae024
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van der Heide, F. C. T., Valeri, L., Dugravot, A., Danilevicz, I., Landre, B., Kivimaki, M., Sabia, S., & Singh-Manoux, A. (2024). Role of cardiovascular health factors in mediating social inequalities in the incidence of dementia in the UK: two prospective, population-based cohort studies. EClinicalMedicine, 70, 102539. https://doi.org/10.1016/j.eclinm.2024.102539
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Park, S., Cowell, W., Margolis, A. E., Sjodin, A., Jones, R., Rauh, V., Wang, S., & Herbstman, J. B. (2023). Prenatal exposure to polybrominated diphenyl ethers and inattention/hyperactivity symptoms in mid to late adolescents. Frontiers in Epidemiology, 3. https://doi.org/10.3389/fepid.2023.1061234
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Wei, Q., Yao, Z., Cui, Y., Wei, B., Jin, Z., & Xu, X. (2024). Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis. Journal of Biomedical Informatics, 151, 104620. https://doi.org/10.1016/j.jbi.2024.104620
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Reddam, A., Bloomquist, T. R., Covell, L. T., Hu, H., Oberfield, S. E., Gallagher, D., Miller, R. L., Goldsmith, J., Rundle, A. G., Baccarelli, A. A., Herbstman, J. B., & Kupsco, A. (2024). Inverse associations of cord blood mitochondrial DNA copy number with childhood adiposity. Obesity, 32(5), 989–998. Portico. https://doi.org/10.1002/oby.24005
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Diamond, D. F., Kresch, Y. S., Gorroochurn, P., Park, L., Horowitz, J. D., Wang, Q., Maruri, S. C., Henriquez, D. R., Harizman, N., Carrion, J., Liebmann, J. M., Cioffi, G. A., & Hark, L. A. (2024). Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): Vision and refractive error results. Clinical and Experimental Optometry, 1–8. https://doi.org/10.1080/08164622.2024.2322523
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Ruch, D. A., Bridge, J. A., Tissue, J., Madden, S. P., Galfavy, H., Gorlyn, M., Sheftall, A. H., Szanto, K., & Keilp, J. G. (2024). Alterations in performance and discriminating power of the death/suicide implicit association test across the lifespan. Psychiatry Research, 335, 115840. https://doi.org/10.1016/j.psychres.2024.115840
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Czepiel, D., McCormack, C., da Silva, A. T. C., Seblova, D., Moro, M. F., Restrepo-Henao, A., Martínez, A. M., Afolabi, O., Alnasser, L., Alvarado, R., Asaoka, H., Ayinde, O., Balalian, A., Ballester, D., Barathie, J. A. l., Basagoitia, A., Basic, D., Burrone, M. S., Carta, M. G., … van der Ven, E. (2024). Inequality on the frontline: A multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic. Cambridge Prisms: Global Mental Health, 11. https://doi.org/10.1017/gmh.2024.18
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Nelson, J. E., Sanchez, K. M., Yao, Y., Jin, Z., Zitsman, J. L., Kattan, M., Garofano, R. P., Layton, A. M., & De, A. (2024). Cardiopulmonary exercise testing among pediatric patients with severe obesity prior to bariatric surgery. Progress in Pediatric Cardiology, 72, 101708. https://doi.org/10.1016/j.ppedcard.2024.101708
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Chen, L., Sun, Q., Chou, R., Anderson, D. B., Shi, B., Chen, Y., Liu, X., Feng, S., Zhou, H., & Ferreira, M. L. (2023). Low back pain-driven inpatient stays in the United States: a nationwide repeated cross-sectional analysis. International Journal of Surgery, 110(3), 1411–1419. https://doi.org/10.1097/js9.0000000000000951
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Cummings, M. J., Bakamutumaho, B., Tomoiaga, A. S., Owor, N., Jain, K., Price, A., Kayiwa, J., Namulondo, J., Byaruhanga, T., Muwanga, M., Nsereko, C., Nayiga, I., Kyebambe, S., Sameroff, S., Che, X., Lutwama, J. J., Lipkin, W. I., & O’Donnell, M. R. (2023). A Transcriptomic Classifier Model Identifies High-Risk Endotypes in a Prospective Study of Sepsis in Uganda*. Critical Care Medicine, 52(3), 475–482. https://doi.org/10.1097/ccm.0000000000006023
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Mi, X., Bekerman, W., Rustgi, A. K., Sims, P. A., Canoll, P. D., & Hu, J. (2024). RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data. The Annals of Applied Statistics, 18(1). https://doi.org/10.1214/23-aoas1761
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Li, Y., Zeng, Z., Zhuang, Z., Zhao, Y., Zhang, L., Wang, W., Song, Z., Dong, X., Xiao, W., Huang, N., Jia, J., Liu, Z., Qi, L., & Huang, T. (2023). Polysocial and Polygenic Risk Scores and All-Cause Dementia, Alzheimer’s Disease, and Vascular Dementia. The Journals of Gerontology: Series A, 79(3). https://doi.org/10.1093/gerona/glad262
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Chang, T.-H., Nguyen, T. Q., & Jackson, J. W. (2023). The Importance of Equity Value Judgments and Estimator-Estimand Alignment in Measuring Disparity and Identifying Targets to Reduce Disparity. American Journal of Epidemiology, 193(3), 536–547. https://doi.org/10.1093/aje/kwad209
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Fowler, C., Cai, X., Baker, J. T., Onnela, J.-P., & Valeri, L. (2024). Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. Journal of the Royal Statistical Society Series C: Applied Statistics, 73(3), 755–773. https://doi.org/10.1093/jrsssc/qlae010
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Ing, C., Silber, J. H., Lackraj, D., Olfson, M., Miles, C., Reiter, J. G., Jain, S., Chihuri, S., Guo, L., Gyamfi-Bannerman, C., Wall, M., & Li, G. (2024). Behavioural disorders after prenatal exposure to anaesthesia for maternal surgery. British Journal of Anaesthesia, 132(5), 899–910. https://doi.org/10.1016/j.bja.2024.01.025
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Thomas, A., Ryan, C. P., Caspi, A., Liu, Z., Moffitt, T. E., Sugden, K., Zhou, J., Belsky, D. W., & Gu, Y. (2024). Diet, Pace of Biological Aging, and Risk of Dementia in the Framingham Heart Study. Annals of Neurology, 95(6), 1069–1079. Portico. https://doi.org/10.1002/ana.26900
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Peker, Y., Celik, Y., Behboudi, A., Redline, S., Lyu, J., Wei, Y., Gottlieb, D. J., & Jelic, S. (2024). CPAP may promote an endothelial inflammatory milieu in sleep apnoea after coronary revascularization. EBioMedicine, 101, 105015. https://doi.org/10.1016/j.ebiom.2024.105015
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Romiti, G. F., Nabrdalik, K., Corica, B., Bucci, T., Proietti, M., Qian, M., Chen, Y., Thompson, J. L. P., Homma, S., & Lip, G. Y. H. (2024). Diabetes mellitus in patients with heart failure and reduced ejection fraction: a post hoc analysis from the WARCEF trial. Internal and Emergency Medicine, 19(4), 931–939. https://doi.org/10.1007/s11739-024-03544-4
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Maués, J., Loeser, A., Cowden, J., Johnson, S., Carlson, M., & Lee, S. (2024). The patient perspective on dose optimization for anticancer treatments: A new era of cancer drug dosing—Challenging the “more is better” dogma. Clinical Trials, 21(3), 358–362. https://doi.org/10.1177/17407745241232428
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Kim, J. S., Sun, Y., Balte, P., Cushman, M., Boyle, R., Tracy, R. P., Styer, L. M., Bell, T. D., Anderson, M. R., Allen, N. B., Schreiner, P. J., Bowler, R. P., Schwartz, D. A., Lee, J. S., Xanthakis, V., Doyle, M. F., Regan, E. A., Make, B. J., Kanaya, A. M., … Oelsner, E. C. (2024). Demographic and Clinical Factors Associated With SARS-CoV-2 Spike 1 Antibody Response Among Vaccinated US Adults: the C4R Study. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-45468-9
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Cummings, M. J., Bakamutumaho, B., Lutwama, J. J., Owor, N., Che, X., Astorkia, M., Postler, T. S., Kayiwa, J., Kiconco, J., Muwanga, M., Nsereko, C., Rwamutwe, E., Nayiga, I., Kyebambe, S., Haumba, M., Bosa, H. K., Ocom, F., Watyaba, B., … Kikaire, B. (2024). COVID-19 immune signatures in Uganda persist in HIV co-infection and diverge by pandemic phase. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-45204-3
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Ravi, K. S., Nandakumar, G., Thomas, N., Lim, M., Qian, E., Jimeno, M. M., Poojar, P., Jin, Z., Quarterman, P., Srinivasan, G., Fung, M., Vaughan, J. T., & Geethanath, S. (2023). Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer’s disease imaging. Frontiers in Neuroimaging, 2. https://doi.org/10.3389/fnimg.2023.1072759
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Cai, B., Zhu, Y., Liu, D., Li, Y., Bueber, M., Yang, X., Luo, G., Su, Y., Grivel, M. M., Yang, L. H., Qian, M., Stone, W. S., & Phillips, M. R. (2024). Use of the Chinese version of the MATRICS Consensus Cognitive Battery to assess cognitive functioning in individuals with high risk for psychosis, first-episode schizophrenia and chronic schizophrenia: a systematic review and meta-analysis. The Lancet Regional Health - Western Pacific, 45, 101016. https://doi.org/10.1016/j.lanwpc.2024.101016
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He, K., Foerster, S., Vora, N. M., Blaney, K., Keeley, C., Hendricks, L., Varma, J. K., Long, T., Shaman, J., & Pei, S. (2024). Evaluating completion rates of COVID-19 contact tracing surveys in New York City. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-024-17920-4
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Hernandez-Ono, A., Zhao, Y. P., Murray, J. W., Östlund, C., Lee, M. J., Shi, A., Dauer, W. T., Worman, H. J., Ginsberg, H. N., & Shin, J.-Y. (2024). Dynamic regulation of hepatic lipid metabolism by torsinA and its activators. JCI Insight. https://doi.org/10.1172/jci.insight.175328
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Goldberg, T. E., Devanand, D. P., Fang, Z., Kim, H., Rueppel, E., Tucker, A., Carlson, S., & Lee, S. (2024). Effects of APOE ε4 and Neuropathological Diagnoses on Neuropsychiatric Symptoms: Mediation Analyses and Likely Causation in an Integrated National Alzheimer’s Coordinating Center Database. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 9(7), 650–659. https://doi.org/10.1016/j.bpsc.2024.01.012
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Liu, X., Radojčić, M. R., Huang, Z., Shi, B., Li, G., & Chen, L. (2024). Antidepressants for chronic pain management: considerations from predictive modeling and personalized medicine perspectives. Frontiers in Pain Research, 5. https://doi.org/10.3389/fpain.2024.1359024
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Garcia, N. L., Rodrigues-Motta, M., Migon, H. S., Petkova, E., Tarpey, T., Ogden, R. T., Giordano, J. O., & Perez, M. M. (2024). Unsupervised Bayesian classification for models with scalar and functional covariates. Journal of the Royal Statistical Society Series C: Applied Statistics, 73(3), 658–681. https://doi.org/10.1093/jrsssc/qlae006
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Wengler, K., Baker, S. C., Velikovskaya, A., Fogelson, A., Girgis, R. R., Reyes-Madrigal, F., Lee, S., de la Fuente-Sandoval, C., Ojeil, N., & Horga, G. (2024). Generalizability and Out-of-Sample Predictive Ability of Associations Between Neuromelanin-Sensitive Magnetic Resonance Imaging and Psychosis in Antipsychotic-Free Individuals. JAMA Psychiatry, 81(2), 198. https://doi.org/10.1001/jamapsychiatry.2023.4305
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Reis, K., Wolf, A., Perumal, R., Seepamore, B., Guzman, K., Ross, J., Cheung, Y. K. K., Amico, K. R., Brust, J. C. M., Padayatchi, N., Friedland, G., Naidoo, K., Daftary, A., Zelnick, J., & O’Donnell, M. (2024). Brief Report: Differentiated Service Delivery Framework for People With Multidrug-Resistant Tuberculosis and HIV Coinfection. JAIDS Journal of Acquired Immune Deficiency Syndromes, 96(1), 34–39. https://doi.org/10.1097/qai.0000000000003394
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Zanobetti, A., Ryan, P. H., Coull, B. A., Luttmann-Gibson, H., Datta, S., Blossom, J., Brokamp, C., Lothrop, N., Miller, R. L., Beamer, P. I., Visness, C. M., Andrews, H., Bacharier, L. B., Hartert, T., Johnson, C. C., Ownby, D. R., Khurana Hershey, G. K., Joseph, C. L. M., … Mendonça, E. A. (2024). Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW Consortium. JAMA Network Open, 7(2), e240535. https://doi.org/10.1001/jamanetworkopen.2024.0535
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