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Case-cohort analysis with semiparametric transformation models
Yi Hau Chen
*
,
David M. Zucker
*
Corresponding author for this work
Department of Statistics
Research output
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Contribution to journal
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Article
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peer-review
20
Scopus citations
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Keyphrases
Cohort Analysis
100%
Semiparametric Transformation Model
100%
Likelihood Approach
66%
Pseudo-partial Likelihood
66%
Profile Likelihood
66%
Statist
33%
Regression Model
33%
Nonparametric Maximum Likelihood Estimator (NPMLE)
33%
Two-level
33%
Survival Analysis
33%
Cardiovascular Risk
33%
Semi-parametric
33%
Proportional Odds Model
33%
Estimating Equation
33%
Taiwan
33%
Weighting Method
33%
Left-truncated Data
33%
Cox Proportional Hazards
33%
Likelihood Methods
33%
Cohort Data
33%
Martingale Estimating Equation
33%
Risk Factor Study
33%
Gain Efficiency
33%
Case-cohort Design
33%
Survival Regression
33%
Case-cohort Study
33%
Horvitz-Thompson
33%
Flexible Regression
33%
Asymptotic Covariance Matrix
33%
Mathematics
Transformation Model
100%
Covariate
66%
Likelihood Approach
66%
Estimating Equation
66%
Approximates
33%
Regression Model
33%
Maximum Likelihood Estimator
33%
Closed Form
33%
Survival Analysis
33%
Proportional Hazard
33%
Truncated Data
33%
Asymptotic Covariance Matrix
33%
Factor Study
33%
Unbiasedness
33%