shuyang-stat / multilevelMatchingLinks
Propensity score Matching and Subclassification with 3 or more Treatments
β21Updated 5 years ago
Alternatives and similar repositories for multilevelMatching
Users that are interested in multilevelMatching are comparing it to the libraries listed below
Sorting:
- π― π― Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Interventionβ13Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimationβ18Updated last week
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β26Updated 3 years ago
- β26Updated last year
- Longitudinal Mediation with Modified Treatment Policiesβ12Updated 3 months ago
- Targeted Learning for Survival Analysisβ23Updated last year
- R package for fitting joint models to time-to-event and longitudinal dataβ18Updated 8 months ago
- π―π Generalized Targeted Learning Frameworkβ41Updated 3 months ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.β13Updated 9 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptionsβ11Updated 2 months ago
- Tools for Flexible Survival Analysis Using Machine Learningβ18Updated last month
- Longitudinal Targeted Maximum Likelihood Estimation packageβ26Updated 2 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorialβ39Updated 4 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effectsβ¦β31Updated 6 months ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017β18Updated 5 years ago
- An Interface to Specify Causal Graphs and Compute Balke Boundsβ22Updated 6 months ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis testsβ20Updated 2 years ago
- β21Updated 8 months ago
- Tutorials on Stan for Bayesian causal inferenceβ19Updated 3 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policiesβ74Updated last month
- Slides for my R/Medicine 2022 talk, "Making Swimmer Plots for Longitudinal Data using {ggplot}".β11Updated 3 years ago
- π― Targeted Learning in R: A Causal Data Science Handbookβ60Updated 10 months ago
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying cβ¦β26Updated 2 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effectβ26Updated 5 months ago
- Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (β¦β27Updated last year
- R package for fitting joint models to time-to-event data and multivariate longitudinal dataβ31Updated 7 months ago
- Causal machine learning pipeline using tlverse/sl3β13Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methodsβ26Updated 9 months ago
- Causal Mediation analysisβ10Updated last month
- β20Updated 6 years ago