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Analysis of treatment response data from eligibility designs
Siddhartha Chib
, Liana Jacobi
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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Keyphrases
Response Data
100%
Unobserved Confounders
100%
Analysis of Treatment Response
100%
Clinical Trials
50%
Indicator Variables
50%
Comparative Analysis
50%
Treatment Effect
50%
Confounding
50%
Model Comparison
50%
Statistics in Medicine
50%
Mental Health Outcomes
50%
Bayes Factor
50%
Negative Mental Health
50%
Real-time Data Analysis
50%
Evaluation Model
50%
Model Specification
50%
Job Loss
50%
Job Search
50%
Marginal Likelihood
50%
Non-model
50%
Bayesian Perspective
50%
Prior Distribution
50%
Roy Model
50%
Identification Assumptions
50%
Mathematics
Real Data
100%
Confounders
100%
Response Data
100%
Confounding
50%
Treatment Effect
50%
Model Comparison
50%
Treatment Arm
50%
Indicator Variable
50%
Model Specification
50%
Marginal Likelihood
50%
Bayesian Model Comparison
50%
Bayesian Perspective
50%
Economics, Econometrics and Finance
Mental Disorder
100%
Causality Analysis
100%
Bayesian
100%
Psychology
Mental Health
100%
Bayes Factor
100%
Earth and Planetary Sciences
Comparative Analysis
100%