som-shahlab / survlearners
Metalearners for Survival Data
☆14Updated last year
Alternatives and similar repositories for survlearners:
Users that are interested in survlearners are comparing it to the libraries listed below
- Non-parametric Causal Effects Based on Modified Treatment Policies☆64Updated this week
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆43Updated last year
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆11Updated 3 months ago
- Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox propor…☆29Updated 5 months ago
- Tutorial_Computational_Causal_Inference_Estimators☆32Updated 3 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆60Updated 4 years ago
- R package that simulates data suitable for fitting Marginal Structural Model.☆12Updated 2 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆16Updated this week
- ☆38Updated 3 years ago
- A suite of functions for reproducible causal mediation analyses☆56Updated 3 weeks ago
- Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (…☆25Updated 5 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated 11 months ago
- ☆18Updated 2 years ago
- hazard and excess hazard modelling with multidimensional penalized splines☆12Updated 3 months ago
- ☆15Updated 9 months ago
- An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…☆38Updated 3 weeks ago
- Simulate Joint Longitudinal and Survival Data☆15Updated 6 years ago
- ☆23Updated 11 months ago
- ☆25Updated this week
- ☆93Updated last year
- ☆41Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 3 months ago
- WeightIt: an R package for propensity score weighting☆112Updated this week
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆12Updated 2 years ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆40Updated 11 months ago
- An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome☆12Updated last year
- Extended Joint Models for Longitudinal and Survival Data☆84Updated last week
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆36Updated 8 months ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 5 months ago