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Model selection for estimating treatment effects
Craig A. Rolling, Yuhong Yang
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
33
Scopus citations
Overview
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Keyphrases
AIDS/HIV
20%
Baseline Covariates
20%
Between Estimator
20%
Clinical Trials
20%
Consistency Properties
20%
Data Splitting Ratio
20%
Estimating Treatment Effects
100%
Estimation Error
20%
Focused Information Criterion
20%
Heterogeneous Treatment Effects
20%
Model Selection
100%
Model Selection Consistency
20%
Model Selection Strategy
20%
Personalized Medicine
20%
Regression Function
20%
Simulation Data
20%
Simulation Study
20%
Treatment Effect
100%
Treatment Effect Estimation
40%
Mathematics
Covariate
11%
Cross-Validation
33%
Information Criterion
11%
Model Selection
100%
Regression Function
11%
Simulation Study
11%
Treatment Effect
100%
Pharmacology, Toxicology and Pharmaceutical Science
Clinical Trial
33%
Cross-Validation
100%
HIV
33%
Model Selection
100%
Psychology
Cross-Validation
100%
Model Selection
100%
Patient with Human Immunodeficiency Virus
33%
Economics, Econometrics and Finance
Causality Analysis
100%