An overview of methods for the analysis of longitudinal data
SL Zeger, KY Liang - Statistics in medicine, 1992 - Wiley Online Library
This paper reviews statistical methods for the analysis of discrete and continuous
longitudinal data. The relative merits of longitudinal and cross‐sectional studies are …
longitudinal data. The relative merits of longitudinal and cross‐sectional studies are …
[PDF][PDF] Tutorial in biostatistics. Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations …
Much of the research in epidemiology and clinical science is based upon longitudinal
designs which involve repeated measurements of a variable of interest in each of a series of …
designs which involve repeated measurements of a variable of interest in each of a series of …
Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi‐level mixed …
Much of the research in epidemiology and clinical science is based upon longitudinal
designs which involve repeated measurements of a variable of interest in each of a series of …
designs which involve repeated measurements of a variable of interest in each of a series of …
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 …
Multivariate regression analyses for categorical data
KY Liang, SL Zeger, B Qaqish - Journal of the Royal Statistical …, 1992 - Wiley Online Library
It is common to observe a vector of discrete and/or continuous responses in scientific
problems where the objective is to characterize the dependence of each response on …
problems where the objective is to characterize the dependence of each response on …
Random effects models for longitudinal data
Mixed models have become very popular for the analysis of longitudinal data, partly
because they are flexible and widely applicable, partly also because many commercially …
because they are flexible and widely applicable, partly also because many commercially …
Longitudinal data analysis (repeated measures) in clinical trials
PS Albert - Statistics in medicine, 1999 - Wiley Online Library
Longitudinal data is often collected in clinical trials to examine the effect of treatment on the
disease process over time. This paper reviews and summarizes much of the methodological …
disease process over time. This paper reviews and summarizes much of the methodological …
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 …
Regression models for discrete longitudinal responses
In this paper, we review analytic methods for regression models for longitudinal categorical
responses. We focus on both likelihood-based approaches and non-likelihood approaches …
responses. We focus on both likelihood-based approaches and non-likelihood approaches …
The analysis of multivariate longitudinal data: a review
G Verbeke, S Fieuws, G Molenberghs… - Statistical methods in …, 2014 - journals.sagepub.com
Longitudinal experiments often involve multiple outcomes measured repeatedly within a set
of study participants. While many questions can be answered by modeling the various …
of study participants. While many questions can be answered by modeling the various …