13 skills found
pzivich / ZEpidEpidemiology analysis package
ngreifer / WeightItWeightIt: an R package for propensity score weighting
ncn-foreigners / NonprobsvyAn R package for modern methods for non-probability samples
ajnafa / Latent Bayesian MSMTaking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
nhejazi / Haldensify:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
nhejazi / Medoutcon:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
andrewheiss / Closing Backdoors DagsUse regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
ehsanx / TMLEworkshopTargeted 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.
nhejazi / Medshift:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
ngreifer / OptweightR package for estimating balancing weights using optimization
istallworthy / DevMSMsTools for using marginal structural models (MSMs) to answer causal questions in developmental science.
kkranker / PsweightIPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
awamaeva / R Package TrajmsmThe 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.
