11 citations · 28 across the 5 of their papers we have counts for
7 papers · 1 filter
A Causal Roadmap for Generating High-Quality Real-World Evidence
Lauren E Dang, Susan Gruber, Hana Lee +23
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks…
Causal Inference for Continuous Multiple Time Point Interventions
Michael Schomaker, Helen McIlleron, Paolo Denti +1
There are limited options to estimate the treatment effects of variables which are continuous and measured at multiple time points, particularly if the true dose-response curve sho…
Studying continuous, time-varying, and/or complex exposures using longitudinal modified treatment policies
Katherine L. Hoffman, Diego Salazar-Barreto, Nicholas Williams +2
This tutorial discusses methodology for causal inference using longitudinal modified treatment policies. This method facilitates the mathematical formalization, identification, and…
Efficient estimation of modified treatment policy effects based on the generalized propensity score
Nima S. Hejazi, David Benkeser, Iván Díaz +1
Continuous treatments have posed a significant challenge for causal inference, both in the formulation and identification of scientifically meaningful effects and in their robust e…
Non-agency interventions for causal mediation in the presence of intermediate confounding
Iván Díaz
Recent approaches to causal inference have focused on causal effects defined as contrasts between the distribution of counterfactual outcomes under hypothetical interventions on th…
Causal survival analysis under competing risks using longitudinal modified treatment policies
Iván Díaz, Katherine L Hoffman, Nima S. Hejazi
Longitudinal modified treatment policies (LMTP) have been recently developed as a novel method to define and estimate causal parameters that depend on the natural value of treatmen…