Additive-multiplicative hazards model for case-cohort studies with multiple disease outcomes

DOI10.1007/s10255-017-0679-9zbMath1359.05015OpenAlexW2615921986MaRDI QIDQ523779

Jun-e Liu, Jie Zhou

Publication date: 21 April 2017

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-017-0679-9

zbMATH Keywords

additive-multiplicative modelcase-cohort studiesmarginal hazards modelmultiple disease outcomes

Mathematics Subject Classification ID

Epidemiology (92D30) Orthogonal arrays, Latin squares, Room squares (05B15)

Related Items (3)

Additive hazard regression for the analysis of clustered survival data from case-cohort studies ⋮ Mathematical modeling and prediction of the effectiveness of surgical treatment in surgery of the spine and pelvic complex ⋮ Generalized accelerated failure time model with censored data from case-cohort studies

Cites Work

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• A class of weighted estimators for additive hazards model in case-cohort studies
• Asymptotic distribution theory and efficiency results for case-cohort studies
• Exposure stratified case-cohort designs
• Semiparametric analysis of general additive-multiplicative hazard models for counting processes
• Fitting semiparametric transformation regression models to data from a modified case-cohort design
• Additive Hazards Model for Competing Risks Analysis of the Case-Cohort Design
• Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design
• Marginal hazards model for case-cohort studies with multiple disease outcomes
• Multivariate Generalizations of the Proportional Hazards Model
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• On the Unique Consistent Solution to the Likelihood Equations
• Cox Regression with Incomplete Covariate Measurements
• Weighted Semiparametric Likelihood Method for Fitting a Proportional Odds Regression Model to Data From the Case-Cohort Design
• Robust Variance Estimation for the Case-Cohort Design
• Additive hazards regression for case-cohort studies
• Case‐Cohort Designs and Analysis for Clustered Failure Time Data
• More efficient estimators for case-cohort studies
• Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
• Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies
• Statistical models based on counting processes

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