An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome
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Updated
Oct 16, 2023 - R
An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome
The R package trajmsm is based on the paper Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories: https://doi.org/10.48550/arXiv.2105.12720.
This paper uses g-computation to estimate the effect of long-term exposure to air-pollution on mortality
Course repository for BIOST 578: Causal Inference for Biomedical Studies (Spring 2024) with Dr. Ting Ye
R code for the analyses conducted in Friedrich, S & Friede, T (2020). Causal inference methods for small non-randomized studies: Methods and an application in COVID-19. Submitted to Contemporary Clinical Trials.
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