Computational methods for case-cohort studies

DOI10.1016/j.csda.2006.12.028zbMath1161.62417OpenAlexW2141797861MaRDI QIDQ1020010

Bryan Langholz, Jenny Jiao

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.12.028

zbMATH Keywords

biasstratified Cox modelCox modeltime-dependent covariatesrisk estimationcumulative hazardrisk sets

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Cumulative risk regression in case-cohort studies using pseudo-observations ⋮ Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies ⋮ Editorial: Computational statistics within clinical research ⋮ Population-based absolute risk estimation with survey data

Uses Software

• SAS

Cites Work

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• Asymptotic distribution theory and efficiency results for case-cohort studies
• A large sample study of Cox's regression model
• Computing the Cox model for case cohort designs
• Exposure stratified case-cohort designs
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Cox Regression with Incomplete Covariate Measurements
• Estimation of Absolute Risk from Nested Case-Control Data
• Robust Variance Estimation for the Case-Cohort Design
• Stratified Case‐Cohort Analysis of General Cohort Sampling Designs
• Statistical models based on counting processes

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