Topic: g-computation Goto Github
Some thing interesting about g-computation
Some thing interesting about g-computation
g-computation,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.
User: awamaeva
g-computation,Taking causal inference to the extreme!
User: dscolby
Home Page: https://dscolby.github.io/CausalELM.jl/
g-computation,Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
User: ehsanx
Home Page: https://ehsanx.github.io/TMLEworkshop/
g-computation,Epidemiology analysis package
User: pzivich
Home Page: http://zepid.readthedocs.org
g-computation,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.
User: smn74
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