6 citations · 7 across the 3 of their papers we have counts for
7 papers
Generalized interpretation and identification of separable effects in competing event settings
Mats J. Stensrud, Miguel A. Hernán, Eric J. Tchetgen Tchetgen +3
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,…
Causal inference with limited resources: proportionally-representative interventions
Aaron L. Sarvet, Kerollos N. Wanis, Jessica Young +3
Investigators often evaluate treatment effects by considering settings in which all individuals are assigned a treatment of interest, assuming that an unlimited number of treatment…
More testing or more disease? A counterfactual approach to explaining observed increases in positive tests over time
Jessica G. Young, Sarah J. Willis, Katherine Hsu +2
Observed gonorrhea case rates (number of positive tests per 100,000 individuals) increased by 75 percent in the United States between 2009 and 2017, predominantly among men. Howeve…
Separable Effects for Causal Inference in the Presence of Competing Events
Mats J. Stensrud, Jessica G. Young, Vanessa Didelez +2
In time-to-event settings, the presence of competing events complicates the definition of causal effects. Here we propose the new separable effects to study the causal effect of a…
A distributed regression analysis application based on SAS software Part II: Cox proportional hazards regression
Yury Vilk, Zilu Zhang, Jessica Young +4
Previous work has demonstrated the feasibility and value of conducting distributed regression analysis (DRA), a privacy-protecting analytic method that performs multivariable-adjus…
A distributed regression analysis application based on SAS software. Part I: Linear and logistic regression
Qoua L. Her, Yury Vilk, Jessica Young +4
Previous work has demonstrated the feasibility and value of conducting distributed regression analysis (DRA), a privacy-protecting analytic method that performs multivariable-adjus…