#

tmle

Here are 6 public repositories matching this topic...

ck37 / superlearner-guide

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

cross-validation superlearner statistical-learning tmle ensembles targeted-learning

Updated Apr 17, 2019
HTML

ehsanx / 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.

Updated Jan 5, 2023
HTML

ehsanx / TMLE-Continuous-Outcome

Implementing TMLE in the Presence of a Continuous Outcome

Updated Nov 13, 2022
HTML

LauraBalzer / AdaptivePrespec

Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"

r tmle stratification data-adaptive randomized-controlled-trials statistical-power super-learner cluster-randomized-trials covariate-adjustment

Updated May 30, 2023
HTML

jbetz-jhu / CovariateAdjustmentTutorial

Tutorials illustrating the use of baseline information to conduct more efficient randomized trials

r tmle clinical-trials missing-data propensity-scores causal-inference case-study randomized-trials covariates aipw group-sequential-designs information-adaptive-designs

Updated Mar 19, 2023
HTML

guhjy / SUGML

2017 London Stata Users Group Meeting

Updated Oct 22, 2018
HTML

Improve this page

Add a description, image, and links to the tmle topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the tmle topic, visit your repo's landing page and select "manage topics."