benkeser / survtmleLinks
Targeted Learning for Survival Analysis
☆23Updated last year
Alternatives and similar repositories for survtmle
Users that are interested in survtmle are comparing it to the libraries listed below
Sorting:
- 🎯🎓 Generalized Targeted Learning Framework☆40Updated 2 months ago
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last month
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆13Updated 8 months ago
- ☆26Updated last year
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆18Updated 5 years ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated last month
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated 10 months ago
- Simulate Joint Longitudinal and Survival Data☆15Updated 7 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 6 months ago
- R package for fitting joint models to time-to-event and longitudinal data☆18Updated 7 months ago
- Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …☆48Updated 3 weeks ago
- ☆34Updated 3 years ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated last month
- Translating ML into Bayes, one line at a time☆81Updated 2 years ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆77Updated this week
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 9 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 6 months ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated last year
- Non-parametric Causal Effects Based on Modified Treatment Policies☆74Updated this week
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆51Updated 2 years ago
- Functions for optimal matching in R☆48Updated 2 weeks ago
- Super learner fitting and prediction using mlr3☆10Updated 6 months ago
- Analysis of simulation studies including Monte Carlo error☆30Updated last year
- R package for microsimulation☆41Updated 2 months ago
- Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…☆45Updated last month