nt-williams / lmtpLinks
Non-parametric Causal Effects Based on Modified Treatment Policies
☆74Updated last month
Alternatives and similar repositories for lmtp
Users that are interested in lmtp are comparing it to the libraries listed below
Sorting:
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆53Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 3 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated 10 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆14Updated 2 weeks ago
- Extended Joint Models for Longitudinal and Survival Data☆91Updated this week
- Targeted Learning for Survival Analysis☆23Updated last year
- Tutorial_Computational_Causal_Inference_Estimators☆37Updated 3 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆13Updated 9 months ago
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated last month
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated last year
- Survival analysis workshop using R☆53Updated 6 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- Causal Inference using Bayesian Additive Regression Trees☆82Updated last month
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated last month
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆26Updated 3 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆18Updated 5 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- R package mediation☆68Updated 3 months ago
- A suite of functions for reproducible causal mediation analyses☆63Updated 7 months ago
- Translating ML into Bayes, one line at a time☆81Updated 2 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆31Updated 6 months ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆78Updated 3 weeks ago
- ☆26Updated last year
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 11 months ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 7 months ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- ☆42Updated 3 years ago
- Causal Inference: What If. R and Stata code for Exercises☆90Updated 3 months ago