10 citations · 11 across the 5 of their papers we have counts for
5 papers · 1 filter
Causal Inference in the Time of Covid-19
Matteo Bonvini, Edward Kennedy, Valerie Ventura +1
In this paper we develop statistical methods for causal inference in epidemics. Our focus is in estimating the effect of social mobility on deaths in the Covid-19 pandemic. We prop…
Modeling Treatment Effect Modification in Multidrug-Resistant Tuberculosis in an Individual Patient Data Meta-Analysis
Yan Liu, Mireille Schnitzer, Guanbo Wang +6
Effect modification occurs while the effect of the treatment is not homogeneous across the different strata of patient characteristics. When the effect of treatment may vary from i…
Doubly Robust Nonparametric Instrumental Variable Estimators for Survival Outcomes
Youjin Lee, Edward H. Kennedy, Nandita Mitra
Instrumental variable (IV) methods allow us the opportunity to address unmeasured confounding in causal inference. However, most IV methods are only applicable to discrete or conti…
Causal Inference for Comprehensive Cohort Studies
Yi Lu, Daniel O. Scharfstein, Maria M. Brooks +2
In a comprehensive cohort study of two competing treatments (say, A and B), clinically eligible individuals are first asked to enroll in a randomized trial and, if they refuse, are…
Survivor-complier effects in the presence of selection on treatment, with application to a study of prompt ICU admission
Edward H. Kennedy, Steve Harris, Luke J. Keele
Pre-treatment selection or censoring (`selection on treatment') can occur when two treatment levels are compared ignoring the third option of neither treatment, in `censoring by de…