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
Datasets
Press/Media
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
6
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
Keyphrases
Heterogeneous Treatment Effects
100%
Treatment Effect
100%
Patient Benefit
100%
Latent Variables
100%
Average Treatment Effect
100%
Simulation Study
50%
Binary Outcome
50%
Randomized Controlled Trial
50%
Randomized Clinical Trial
50%
Continuous Outcomes
50%
Generalized Linear Mixed Model
50%
Asymptotic Distribution
50%
Non-separable
50%
Joint Distribution
50%
Different Characteristics
50%
Mathematics
Treatment Effect
100%
Simulation Study
25%
Conditionals
25%
Joint Distribution
25%
Generalized Linear Mixed Model
25%
Asymptotic Distribution
25%
Observed Covariates
25%