Adopting nested case-control quota sampling designs for the evaluation of risk markers

DOI10.1007/s10985-013-9270-8zbMath1322.62328OpenAlexW1978982038WikidataQ37520296 ScholiaQ37520296MaRDI QIDQ746492

Margaret S. Pepe, Tianxi Cai, Yingye Zheng

Publication date: 16 October 2015

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-013-9270-8

zbMATH Keywords

risk predictionprediction accuracyprognosisbiomarkernested case-control studyquota sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Medical applications (general) (92C50) Statistical block designs (62K10)

Related Items (1)

Preface

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Cox's regression model for counting processes: A large sample study
• Asymptotic theory for nested case-control sampling in the Cox regression model
• Methods for the analysis of sampled cohort data in the Cox proportional hazards model
• Evaluating prognostic accuracy of biomarkers in nested case-control studies
• On the negative hypergeometric distribution
• Two Criteria for Evaluating Risk Prediction Models
• Efficient estimation of semiparametric transformation models for counting processes
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Analysis of transformation models with censored data
• Estimation of Absolute Risk from Nested Case-Control Data
• A pseudolikelihood approach to analysis of nested case-control studies
• Predicting Survival Probabilities With Semiparametric Transformation Models
• Maximum Likelihood Estimation in the Proportional Odds Model

This page was built for publication: Adopting nested case-control quota sampling designs for the evaluation of risk markers