Analysis of Longitudinal Data
1. Introduction 2. Design considerations 3. Exploring longitudinal data 4. General linear models 5. Parametric models for covariance structure 6. Analysis of variance methods 7....
Publications
7 shownLatent Class Model Diagnosis
Summary. In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the i...
Longitudinal data analysis using generalized linear models
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 estimates o...
Longitudinal Data Analysis Using Generalized Linear Models
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 estimates o...
Fine Particulate Air Pollution and Mortality in 20 U.S. Cities, 1987–1994
There is consistent evidence that the levels of fine particulate matter in the air are associated with the risk of death from all causes and from cardiovascular and respiratory ...
Longitudinal Data Analysis for Discrete and Continuous Outcomes
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 descri...
The analysis of binary longitudinal data with time independent covariates
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 ...
Frequent Co-Authors
Researcher Info
- h-index
- 7
- Publications
- 7
- Citations
- 36,175
- Institution
- Johns Hopkins University
External Links
Identifiers
- ORCID
- 0000-0001-8907-1603
Impact Metrics
h-index
7
h-index: Number of publications with at least h citations each.