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pro vyhledávání: '"Bobb, Jennifer F"'
Evaluating heterogeneity of treatment effects (HTE) across subgroups is common in both randomized trials and observational studies. Although several statistical challenges of HTE analyses including low statistical power and multiple comparisons are w
Externí odkaz:
http://arxiv.org/abs/2407.06466
Autor:
Mooney, Stephen J, Bobb, Jennifer F, Hurvitz, Philip M, Anau, Jane, Theis, Mary Kay, Drewnowski, Adam, Aggarwal, Anju, Gupta, Shilpi, Rosenberg, Dori E, Cook, Andrea J, Shi, Xiao, Lozano, Paula, Moudon, Anne Vernez, Arterburn, David
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 5, p e16787 (2020)
BackgroundStudies assessing the impact of built environments on body weight are often limited by modest power to detect residential effects that are small for individuals but may nonetheless comprise large attributable risks. ObjectiveWe used data e
Externí odkaz:
https://doaj.org/article/82f9b12b9e5a4b799e6985fc34fdda57
Generalized linear mixed models (GLMM) are commonly used to analyze clustered data, but when the number of clusters is small to moderate, standard statistical tests may produce elevated type I error rates. Small-sample corrections have been proposed
Externí odkaz:
http://arxiv.org/abs/2209.04364
Autor:
Weinstein, Zoe M., Yu, Onchee, Wartko, Paige D., Samet, Jeffrey H., Bobb, Jennifer F., Braciszewski, Jordan M., Arnsten, Julia H., Murphy, Mark T., Horigian, Viviana E., Stotts, Angela L., Beers, Donna, Bradley, Katharine
Publikováno v:
In Drug and Alcohol Dependence 1 December 2024 265
Autor:
Bobb, Jennifer F., Idu, Abisola E., Qiu, Hongxiang, Yu, Onchee, Boudreau, Denise M., Wartko, Paige D., Matthews, Abigail G., McCormack, Jennifer, Lee, Amy K., Campbell, Cynthia I., Saxon, Andrew J., Liu, David S., Altschuler, Andrea, Samet, Jeffrey H., Northrup, Thomas F., Braciszewski, Jordan M., Murphy, Mark T., Arnsten, Julia H., Cunningham, Chinazo O., Horigian, Viviana E., Szapocznik, José, Glass, Joseph E., Caldeiro, Ryan M., Tsui, Judith I., Burganowski, Rachael P., Weinstein, Zoe M., Murphy, Sean M., Hyun, Noorie, Bradley, Katharine A.
Publikováno v:
In Drug and Alcohol Dependence 1 August 2024 261
Autor:
Lozano, Paula Maria, Bobb, Jennifer F., Kapos, Flavia P., Cruz, Maricela, Mooney, Stephen J., Hurvitz, Philip M., Anau, Jane, Theis, Mary Kay, Cook, Andrea, Moudon, Anne Vernez, Arterburn, David E., Drewnowski, Adam
Publikováno v:
In AJPM Focus June 2024 3(3)
Autor:
Bobb, Jennifer F., Cruz, Maricela F., Mooney, Stephen J., Drewnowski, Adam, Arterburn, David, Cook, Andrea J.
Publikováno v:
J R Stat Soc Ser A 2022
In the presence of unmeasured spatial confounding, spatial models may actually increase (rather than decrease) bias, leading to uncertainty as to how they should be applied in practice. We evaluated spatial modeling approaches through simulation and
Externí odkaz:
http://arxiv.org/abs/2107.08072
Autor:
Chubak, Jessica, Adler, Amanda, Bobb, Jennifer F., Hawkes, Rene J., Ziebell, Rebecca A., Pocobelli, Gaia, Ludman, Evette J., Zerr, Danielle M.
Publikováno v:
In Journal of Pediatric Health Care May-June 2024 38(3):354-364
Autor:
Rosenberg, Dori E., Cruz, Maricela F., Mooney, Stephen J., Bobb, Jennifer F., Drewnowski, Adam, Moudon, Anne Vernez, Cook, Andrea J., Hurvitz, Philip M., Lozano, Paula, Anau, Jane, Theis, Mary Kay, Arterburn, David E.
Publikováno v:
In Health and Place March 2024 86
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