Multivariate Continuation Ratio Models: Connections and Caveats

DOI10.1111/j.0006-341X.2000.00719.xzbMath1060.62559OpenAlexW2134571403WikidataQ52074178 ScholiaQ52074178MaRDI QIDQ4670404

Scott L. Zeger, Patrick J. Heagerty

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.00719.x

zbMATH Keywords

proportional hazardsestimating equationcross-product ratiodiscrete survival

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Estimation in survival analysis and censored data (62N02) Applications of statistics to psychology (62P15)

Related Items

Marginalized Models for Moderate to Long Series of Longitudinal Binary Response Data, Conditional risk models for ordinal response data: Simultaneous logistic regression analysis and generalized score tests

Cites Work

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• Longitudinal data analysis using generalized linear models
• Regression models for discrete longitudinal responses. With comments and a rejoinder by the authors
• Quasi-likelihood functions
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• The foundations of finite sample estimation in stochastic processes
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• Bivariate Survival Models Induced by Frailties
• Time-Dependent Association Measures for Bivariate Survival Distributions
• Conditional likelihood and unconditional optimum estimating equations
• On the Treatment of Grouped Observations in Life Studies
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Regression Analysis of Grouped Survival Data with Application to Breast Cancer Data
• Marginal Regression Models for Clustered Ordinal Measurements
• Modeling Multivariate Discrete Failure Time Data
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• Regression Analysis of Multivariate Grouped Survival Data
• Subject-Specific and Population-Averaged Continuation Ratio Logit Models for Multiple Discrete Time Survival Profiles
• A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data