Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Model selection for estimating treatment effects
Craig A. Rolling,
Yuhong Yang
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Model selection for estimating treatment effects'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Business & Economics
Model Selection
100%
Treatment Effects
74%
Cross-validation
45%
Heterogeneous Treatment Effects
14%
Estimation Error
11%
Clinical Trials
11%
Covariates
9%
Medicine
9%
Simulation Study
9%
Estimator
7%
Patient with Human Immunodeficiency Virus
1%
Mathematics
Treatment Effects
71%
Model Selection
65%
Cross-validation
27%
Information Criterion
10%
Estimation Error
9%
Baseline
8%
Medicine
8%
Virus
8%
Regression Function
8%
Clinical Trials
7%
Flexibility
7%
Human
7%
Covariates
6%
Simulation Study
5%
Model
5%
Demonstrate
4%
Estimator
4%
Estimate
3%