g-computation

There are 0 repository under g-computation topic.

zEpid
pzivich / zEpid
Epidemiology analysis package
epidemiology inverse-probability-weights risk-ratio epidemiology-analysis risk-difference g-formula ipw aipw g-computation tmle targeted-maximum-likelihood incidence-rate-ratio odds-ratio g-estimation data-science
Language:Python 136
dscolby / CausalELM.jl
Taking causal inference to the extreme!
causal-inference causal-machine-learning extreme-learning-machine g-computation interrupted-time-series metalearning observational-studies quasi-experimental assumption-check double-machine-learning nonparametric-model sensitivity-analysis metalearner debiased-machine-learning r-learning s-learner t-learner x-learner doubly-robust
Language:Julia 18
ehsanx / TMLEworkshop
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.
tmle machine-learning double robust r workshop-materials g-computation propensity-score comparative-effectiveness ipw inverse-probability-weights code reproducible reproducible-research implementation steps epidemiology statistical-inference medicine conference-workshop
Language:HTML 8
awamaeva / R-package-trajmsm
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.
g-computation inverse-probability-weights marginal-structural-models tmle trajectory-analysis
Language:R 2
benmarhnia-lab / cchs_g_computation
This paper uses g-computation to estimate the effect of long-term exposure to air-pollution on mortality
canada causal-inference g-computation mortality particulate-matter
Language:R 2
smn74 / CIM_COVID-19
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.
propensity-score causal-inference g-computation covid-19
Language:R 0