A Class of Logistic Regression Models for Multivariate Binary Time Series

DOI10.2307/2289928zbMath0677.62085OpenAlexW4243929410MaRDI QIDQ3833468

Scott L. Zeger, Kung-Yee Liang

Publication date: 1989

Full work available at URL: https://doi.org/10.2307/2289928

zbMATH Keywords

asymptoticslogistic modelMarkov modelconditional distributionsnonhomogeneous Markov chainslog-linear modelmarginal distributionmultivariate binary time serieshealth-maintenancepseudolikelihood estimation procedurepsychosomatic and psychological diagnoses

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to psychology (62P15)

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Generalized linear models for beta correlated binary longitudinal data ⋮ A quasi-likelihood approach to model bernoulli data with spatial dependence ⋮ A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values ⋮ A bivariate generalized linear model with an application to meteorological data analysis ⋮ Bayesian approach to analysing longitudinal bivariate binary data with informative dropout ⋮ A Local Influence Approach Applied to Binary Data from a Psychiatric Study ⋮ Prediction and classification of non-stationary categorical time series ⋮ Local quasi-likelihood approach to varying-coefficient discrete-valued time series models ⋮ Applied regression analysis bibliography update 1988-89

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