Using data from the British Household Panel Survey, we illustrate how longitudinal repeated measures of binary outcomes are analysed using population average and subject specific logistic regression models. We show how the autocorrelation found in longitudinal data is accounted for by both approaches, and why, in contrast to linear models for continuous outcomes, the parameters of population average and subject specific models for binary outcomes are different. To illustrate these points, we fit different models to our data set using both approaches, and compare and contrast the results obtained. Finally, we use our example to provide some guidance on how to choose between the two approaches
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
Using data from the British Household Panel Survey, we illustrate how longitudinal repeated measures...
When using linear models for cluster-correlated or longitudinal data, a common modeling practice is ...
The objective of this paper is to describe particularity of longitudinal data and methods which can...
Repeated measures and repeated events data have a hierarchical structure which can be analysed by us...
In the health and social sciences, longitudinal data have often been analyzed without taking into ac...
Introducing quantitative longitudinal data analysis 1. Repeated cross-sections 2. Panel datasets3. C...
The generalized estimating equation (GEE) approach to the analysis of longitudinal data has many att...
This thesis is about estimation bias of longitudinal data when there is correlation between the expl...
Introduction (R. L. Chambers & C. J. Skinner).PART A: APPROACHES TO INFERENCE.Introduction to Pa...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
Using data from the British Household Panel Survey, we illustrate how longitudinal repeated measures...
When using linear models for cluster-correlated or longitudinal data, a common modeling practice is ...
The objective of this paper is to describe particularity of longitudinal data and methods which can...
Repeated measures and repeated events data have a hierarchical structure which can be analysed by us...
In the health and social sciences, longitudinal data have often been analyzed without taking into ac...
Introducing quantitative longitudinal data analysis 1. Repeated cross-sections 2. Panel datasets3. C...
The generalized estimating equation (GEE) approach to the analysis of longitudinal data has many att...
This thesis is about estimation bias of longitudinal data when there is correlation between the expl...
Introduction (R. L. Chambers & C. J. Skinner).PART A: APPROACHES TO INFERENCE.Introduction to Pa...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...
BACKGROUND: Longitudinal studies with binary repeated outcomes are now widespread in epidemiology. T...