research
∙
08/28/2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
We investigate the problem of machine learning-based (ML) predictive inf...
share
research
∙
07/24/2023
Adaptive debiased machine learning using data-driven model selection techniques
Debiased machine learning estimators for nonparametric inference of smoo...
research
∙
07/05/2023
Unveiling Causal Mediation Pathways in High-Dimensional Mixed Exposures: A Data-Adaptive Target Parameter Strategy
Mediation analysis in causal inference typically concentrates on one bin...
research
∙
05/12/2023
A Causal Roadmap for Hybrid Randomized and Real-World Data Designs: Case Study of Semaglutide and Cardiovascular Outcomes
Introduction: Increasing interest in real-world evidence has fueled the ...
research
∙
04/11/2023
A nonparametric framework for treatment effect modifier discovery in high dimensions
Heterogeneous treatment effects are driven by treatment effect modifiers...
research
∙
04/11/2023
Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis
Causal mediation analysis with random interventions has become an area o...
research
∙
02/15/2023
Cross-Validated Decision Trees with Targeted Maximum Likelihood Estimation for Nonparametric Causal Mixtures Analysis
Exposure to mixtures of chemicals, such as drugs, pollutants, and nutrie...
research
∙
01/31/2023
Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates
We consider estimation of a functional of the data distribution based on...
research
∙
10/11/2022
A Cross-Validated Targeted Maximum Likelihood Estimator for Data-Adaptive Experiment Selection Applied to the Augmentation of RCT Control Arms with External Data
Augmenting the control arm of a randomized controlled trial (RCT) with e...
research
∙
08/15/2022
Evaluating and improving real-world evidence with Targeted Learning
Purpose: The Targeted Learning roadmap provides a systematic guide for g...
research
∙
05/22/2022
The Selectively Adaptive Lasso
Machine learning regression methods allow estimation of functions withou...
research
∙
06/29/2021
Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials
Cluster randomized trials (CRTs) randomly assign an intervention to grou...
research
∙
06/21/2021
Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation
Targeted maximum likelihood estimation is a general methodology combinin...
research
∙
06/03/2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Empirical risk minimization (ERM) is the workhorse of machine learning, ...
research
∙
06/01/2021
Post-Contextual-Bandit Inference
Contextual bandit algorithms are increasingly replacing non-adaptive A/B...
research
∙
05/12/2021
Estimation of population size based on capture recapture designs and evaluation of the estimation reliability
We propose a modern method to estimate population size based on capture-...
research
∙
01/29/2021
Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule
Given an (optimal) dynamic treatment rule, it may be of interest to eval...
research
∙
01/29/2021
The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
The optimal dynamic treatment rule (ODTR) framework offers an approach f...
research
∙
01/18/2021
Sequential causal inference in a single world of connected units
We consider adaptive designs for a trial involving N individuals that we...
research
∙
01/15/2021
Higher Order Targeted Maximum Likelihood Estimation
Asymptotic efficiency of targeted maximum likelihood estimators (TMLE) o...
research
∙
05/23/2019
Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimator
The Highly-Adaptive-LASSO Targeted Minimum Loss Estimator (HAL-TMLE) is ...
research
∙
11/15/2018
Kernel Smoothing of the Treatment Effect CDF
We provide a CV-TMLE estimator for a kernel smoothed version of the cumu...
research
∙
11/09/2018
A Fundamental Measure of Treatment Effect Heterogeneity
In this paper we offer an asymptotically efficient, non-parametric way t...
research
∙
10/21/2018
Correcting an estimator of a multivariate monotone function with isotonic regression
In many problems, a sensible estimator of a possibly multivariate monoto...
research
∙
06/28/2018
Evaluation of adaptive treatment strategies in an observational study where time-varying covariates are not monitored systematically
In studies based on electronic health records (EHR), the frequency of co...
research
∙
03/13/2018