4 papers
Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
Philippe Boileau, Nima S. Hejazi, Ivana Malenica +3
Causal mediation analysis provides techniques for defining and estimating effects that may be endowed with mechanistic interpretations. With many scientific investigations seeking…
Statistical learning for constrained functional parameters in infinite-dimensional models
Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan +1
We develop a general framework for estimating function-valued parameters under equality or inequality constraints in infinite-dimensional statistical models. Such constrained learn…
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
Helene C. W. Rytgaard, Mark J. van der Laan
Longitudinal settings involving outcome, competing risks and censoring events occurring and recurring in continuous time are common in medical research, but are often analyzed with…
concrete: Targeted Estimation of Survival and Competing Risks in Continuous Time
David Chen, Helene C. W. Rytgaard, Edwin C. H. Fong +4
This article introduces the R package concrete, which implements a recently developed targeted maximum likelihood estimator (TMLE) for the cause-specific absolute risks of time-to-…