Longitudinal data analysis using generalized linear models
KY Liang, SL Zeger - Biometrika, 1986 - academic.oup.com
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 …
longitudinal data. We introduce a class of estimating equations that give consistent …
Longitudinal data analysis for discrete and continuous outcomes
SL Zeger, KY Liang - Biometrics, 1986 - JSTOR
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 …
covariates for each of many subjects. One objective of statistical analysis is to describe the …
A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data
M Sullivan Pepe, GL Anderson - Communications in statistics …, 1994 - Taylor & Francis
Inference for cross-sectional models using longitudinal data, can be accomplished with
generalized estimating equations (Zeger and Liang, 1992). We show that either a diagonal …
generalized estimating equations (Zeger and Liang, 1992). We show that either a diagonal …
Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
BC Sutradhar, K Das - Biometrika, 1999 - academic.oup.com
Abstract Liang & Zeger (1986) introduced a generalised estimating equations approach
based on a'working'correlation matrix to obtain consistent and efficient estimators of …
based on a'working'correlation matrix to obtain consistent and efficient estimators of …
Models for longitudinal data: a generalized estimating equation approach
This article discusses extensions of generalized linear models for the analysis of
longitudinal data. Two approaches are considered: subject-specific (SS) models in which …
longitudinal data. Two approaches are considered: subject-specific (SS) models in which …
The analysis of binary longitudinal data with time independent covariates
SL Zeger, KY Liang, SG Self - Biometrika, 1985 - academic.oup.com
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 …
variable is observed repeatedly for each subject. We propose two working models that lead …
Quasi-likelihood regression with unknown link and variance functions
JM Chiou, HG Müller - Journal of the American Statistical …, 1998 - Taylor & Francis
We consider the multiple regression model E (y)= μ, μ= g (x T β), var (y)—[sgrave] 2 (μ) with
predictors x, link function g, and variance function [sgrave] 2 (·). The aim is to reduce the …
predictors x, link function g, and variance function [sgrave] 2 (·). The aim is to reduce the …
A comparison of the generalized estimating equation approach with the maximum likelihood approach for repeated measurements
T Park - Statistics in Medicine, 1993 - Wiley Online Library
Liang and Zeger proposed an extension of generalized linear models to the analysis of
longitudinal data. Their approach is closely related to quasi‐likelihood methods and can …
longitudinal data. Their approach is closely related to quasi‐likelihood methods and can …
Markov regression models for time series: a quasi-likelihood approach
SL Zeger, B Qaqish - Biometrics, 1988 - JSTOR
This paper discusses a quasi-likelihood (QL) approach to regression analysis with time
series data. We consider a class of Markov models, referred to by Cox (1981, Scandinavian …
series data. We consider a class of Markov models, referred to by Cox (1981, Scandinavian …
On weak dependence conditions for Poisson autoregressions
P Doukhan, K Fokianos, D Tjøstheim - Statistics & Probability Letters, 2012 - Elsevier
We consider generalized linear models for regression modeling of count time series. We
give easily verifiable conditions for obtaining weak dependence for such models. These …
give easily verifiable conditions for obtaining weak dependence for such models. These …