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pro vyhledávání: '"Young, Jessica G."'
Autor:
Wanis, Kerollos Nashat, Sarvet, Aaron L., Wen, Lan, Block, Jason P., Rifas-Shiman, Sheryl L., Robins, James M., Young, Jessica G.
Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in practice and, when non-adherence is expected, estima
Externí odkaz:
http://arxiv.org/abs/2212.11398
Many research questions concern treatment effects on outcomes that can recur several times in the same individual. For example, medical researchers are interested in treatment effects on hospitalizations in heart failure patients and sports injuries
Externí odkaz:
http://arxiv.org/abs/2202.08500
Publikováno v:
Epidemiology 33 (2022) 114-120
The parametric g-formula is an approach to estimating causal effects of sustained treatment strategies from observational data. An often cited limitation of the parametric g-formula is the g-null paradox: a phenomenon in which model misspecification
Externí odkaz:
http://arxiv.org/abs/2103.03857
Autor:
Stensrud, Mats J., Robins, James M., Sarvet, Aaron, Tchetgen, Eric J. Tchetgen, Young, Jessica G.
Researchers are often interested in treatment effects on outcomes that are only defined conditional on a post-treatment event status. For example, in a study of the effect of different cancer treatments on quality of life at end of follow-up, the qua
Externí odkaz:
http://arxiv.org/abs/2006.15681
Autor:
Stensrud, Mats J., Hernán, Miguel A., Tchetgen, Eric J. Tchetgen, Robins, James M., Didelez, Vanessa, Young, Jessica G.
In competing event settings, a counterfactual contrast of cause-specific cumulative incidences quantifies the total causal effect of a treatment on the event of interest. However, effects of treatment on the competing event may indirectly contribute
Externí odkaz:
http://arxiv.org/abs/2004.14824
Autor:
Lin, Victoria, McGrath, Sean, Zhang, Zilu, Petito, Lucia C., Logan, Roger W., Hernán, Miguel A., Young, Jessica G.
Publikováno v:
Patterns 1 (2020) 100008
Researchers are often interested in using longitudinal data to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of a future outcome. Standard regression/conditioning methods for confounding control
Externí odkaz:
http://arxiv.org/abs/1908.07072
Autor:
Wanis, Kerollos Nashat, Madenci, Arin L., Hao, Sicheng, Moukheiber, Mira, Moukheiber, Lama, Moukheiber, Dana, Moukheiber, Sulaiman, Young, Jessica G., Celi, Leo Anthony
Publikováno v:
In Chest October 2023 164(4):885-891
Autor:
Rokoff, Lisa B., Wallenborn, Jordyn T., Harris, Maria H., Rifas-Shiman, Sheryl L., Criswell, Rachel, Romano, Megan E., Young, Jessica G., Calafat, Antonia M., Oken, Emily, Sagiv, Sharon K., Fleisch, Abby F.
Publikováno v:
In Science of the Total Environment 15 September 2023 891
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Akademický článek
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