tmle
There are 1 repository under tmle topic.
- zEpidLanguage:Python 140
- Language:R 57
romainkp / stremr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Language:R 38ck37 / superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Language:HTML 36- Language:R 20
benkeser / drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Language:R 18R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
Language:R 18- Language:Julia 16
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Language:R 12imalenica / medltmle
R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data
Language:R 11nt-williams / adjrct
Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions :pill:
Language:R 11ehsanx / TMLEworkshop
Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Language:HTML 8kararudolph / transport
Transporting intervention effects from one population to another with targeted learning
Language:R 7Estimation and Inference for Context-Specific Causal Average Treatment Effect and Optimal Individualized Treatment Effect with Single Time Series
Language:R 5jucheng1992 / ctmle
Collaborative Targeted Maximum Likelihood Estimation
Language:R 5Estimators of cross-validated prediction metrics with improved small sample performance
Language:R 3jbetz-jhu / CovariateAdjustmentTutorial
Tutorials illustrating the use of baseline information to conduct more efficient randomized trials
Language:HTML 3LauraBalzer / AdaptivePrespec
Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"
Language:HTML 3awamaeva / R-package-trajmsm
The R package trajmsm is based on the paper Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories: https://doi.org/10.48550/arXiv.2105.12720.
Language:R 2idiazst / ordinaltmle
TMLE with efficiency guarantees for randomized trials with ordinal outcomes
Language:R 2R/tstmle01: Estimation and Inference for Marginal Causal Effect with Single Binary Time Series
Language:R 2SuperLearner R package: prediction model ensembling method
Language:R 1Introduction to Double Robust Estimation for Causal Inference
R code for evaluating adult HIV incidence, health, & implementation outcomes for the first phase of the SEARCH Study (https://www.searchendaids.com/). Full statistical analysis plan available at https://arxiv.org/abs/1808.03231
Language:R 1- Language:HTML
guhjy / cvtmleAUC
Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve
Language:R- Language:R
- Language:R
- Language:R
Reproduce the simulations in Cai W, van der Laan MJ (2019+). One-step TMLE for time-to-event outcomes.
Language:RTreatment-specific survival curve estimation via one-step TMLE algorithm
Language:RTMLE with efficiency guarantees for randomized trials with ordinal outcomes
Language:R- Language:R
bootstrap confidence intervals for Targeted Maximum Likelihood Estimators
Language:RLarsvanderlaan / npRR
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
Language:RSemiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
Language:R
