This paper considers extensions of logistic regression to the case where the binary outcome
variable is observed repeatedly for each subject. We propose two working models that lead …

This paper proposes an extension of generalized linear models to the analysis of
longitudinal data. We introduce a class of estimating equations that give consistent …

The modelling of correlated binary outcomes, in such a way that the marginal response
probabilities are still logistic, is considered. Different association measures for the …

Longitudinal data sets are comprised of repeated observations of an outcome and a set of
covariates for each of many subjects. One objective of statistical analysis is to describe the …

Liang and Zeger (1986 Biometrika 73 13-22) and Zeger and Liang (1986 Biometrics 42 121-
30) proposed a generalized estimating equation approach to the estimation of covariate …

Consider bivariate binary data, with possibly different covariates for each marginal binary
observation. Suppose that the correlation between paired observations is a nuisance, and …

A logistic model for multivariate binary time series is proposed. First, we establish the
equivalence between a log-linear model for the marginal distribution of a multivariate binary …

Abstract SUMMARY A stochastic model is proposed for the study of the influence of time-
dependent covariates on the marginal distribution of the binary response in serially …

Some conditional models to deal with binary longitudinal responses are proposed,
extending random effects models to include serial dependence of Markovian form, and …

In this paper, we discuss a likelihood-based method for analysing correlated binary
responses based on a multivariate model. It is related to the pseudo-maximum likelihood …