-
Institute of Science Tokyo
- https://orcid.org/0009-0008-2328-4137
- yueqiijackie
Stars
❗ This is a read-only mirror of the CRAN R package repository. causalDT — Causal Distillation Trees. Homepage: https://tiffanymtang.github.io/causalDT/
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
Code for the Manuscript: A doubly robust machine learning-based approach to evaluate body mass index as a modifier of the association between fruit and vegetable intake and preeclampsia
Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially Doubly Robust estimation (Hoffman et al. 2022).
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
bootstrap confidence intervals for Targeted Maximum Likelihood Estimators