tedwestling / CFsurvivalLinks
R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an observational baseline treatment.
☆11Updated last year
Alternatives and similar repositories for CFsurvival
Users that are interested in CFsurvival are comparing it to the libraries listed below
Sorting:
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 2 weeks ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆13Updated 6 months ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 9 months ago
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- 🎯🎓 Generalized Targeted Learning Framework☆40Updated last week
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆25Updated 3 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- Simulate Survival Data☆24Updated 4 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- Targeted Learning for Survival Analysis☆22Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 4 months ago
- 🤠 📿 The Highly Adaptive Lasso☆50Updated 7 months ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆13Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 3 years ago
- An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome☆12Updated 2 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆66Updated last week
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆9Updated 5 years ago
- Perform inference on algorithm-agnostic variable importance☆24Updated 4 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- heterogeneous treatment effect estimation with causal forests☆12Updated 2 years ago
- ☆25Updated last year
- Causal mediation analysis in R☆26Updated 4 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆17Updated 5 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆26Updated 2 months ago
- Flexible mediation analysis using natural effect models in R☆24Updated 2 years ago
- Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model☆25Updated 4 years ago
- Causal Mediation analysis☆9Updated last month