Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
-
Updated
Mar 25, 2023 - R
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
Poster "Semiparametric estimation and robust empirical Bayes inference in high-dimensional biological studies" for the annual conference of the Superfund Research Program, November 2019
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
💬 Talk on mediation effects based on stochastic interventions
An R Package for Average Causal Effect Estimation via the Front-Door Functional
Implementing experiments in paper titled "Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional"
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
💬 Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
Quarto version of "Introduction to Modern Causal Inference" by Alejandro Schuler.
SuperLearner R package: prediction model ensembling method
🎯🎓 An introductory workshop lecture on a generalized framework for Targeted Learning using the tmle3 R package
Data-adaptive creation of exposure (treatment) mixtures using targeted learning
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
🎯 🔀 Targeted Learning for Causal Mediation Analysis
📦 🔬 R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
Course website for "Targeted Learning in Biomedical Big Data" (Spring 2018, UC Berkeley)
🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
Targeted Maximum Likelihood Estimation for Hierarchical Data
Transporting intervention effects from one population to another with targeted learning
💫 🎯 Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
Add a description, image, and links to the targeted-learning topic page so that developers can more easily learn about it.
To associate your repository with the targeted-learning topic, visit your repo's landing page and select "manage topics."