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
Assessing the Treatment Effect Heterogeneity with a Latent Variable
Yunjian Yin,
Lan Liu
, Zhi Geng
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Assessing the Treatment Effect Heterogeneity with a Latent Variable'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Latent Variables
100%
Treatment Effects
95%
Potential Outcomes
45%
Average Treatment Effect
44%
Proportion
26%
Randomized Controlled Trial
22%
Randomized Clinical Trial
19%
Generalized Linear Mixed Model
18%
Nonseparable
17%
Joint Distribution
14%
Asymptotic distribution
12%
Covariates
12%
Simulation Study
10%
Subgroup
9%
Estimator
8%
Business & Economics
Treatment Effects
99%
Latent Variables
98%
Potential Outcomes
38%
Average Treatment Effect
38%
Generalized Linear Mixed Model
22%
Proportion
21%
Randomized Controlled Trial
20%
Clinical Trials
17%
Joint Distribution
17%
Asymptotic Distribution
17%
Covariates
14%
Simulation Study
14%
Estimator
11%