A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data

Communications in Statistics - Simulation and Computation

Volumn 23, Issue 4, 1994, Pages 939-951

  Pepe, Margaret Sullivan ^a   Anderson, Garnet L ^a  

^a FRED HUTCHINSON CANCER RESEARCH CENTER   (United States)

Author keywords

cross sectional model; generalized estimating equations: multivariate response; quasilikelihood

Indexed keywords

EID: 84963132941     PISSN: 03610918     EISSN: 15324141     Source Type: Journal    
DOI: 10.1080/03610919408813210     Document Type: Article

References (10)

1. Cox, D.R. (1981) Statistical analysis of time series: some recent developments. Scandinavian Journal of Statistics, 8, 93–115.
2. Liang, K-Y and Zeger, S.L. (1986) Longitudinal data analysis using generalized linear models. Biometrika. 73. 13–22.
3. Liang, K-Y et al (1992) Multivariate regression analyses for categorical data (with discussion). Journal of the Royal Statistical Society, Series B, 54, 3–40.
4. McCullagh, P. and Nelder, J.A. (1989) Generalized Linear Models, 2nd Edn, London: Chapman and Hall.
5. Prentice, R.L. (1988) Correlated binary regression with covariates specific to each binary observation. Biometrics, 44, 1033–1048.
6. Sommer, A. et al (1984) Increased risk of respiratory infection and diarrhea in children with pre-existing Vitamin A deficiency. American Journal of Clinical Nutrition, 40, 1090–1095.
7. Thall, P. and Vail S. (1990) Some covariance models for longitudinal count data with overdispersion. Biometrics, 46, 657–671.
8. Zeger, S.L. (1958) A regression model for time series of counts. Biometrika, 75, 621–629.
9. Zeger, S.L. et al (1988) Models for longitudinal data: a generalized estimating equation approach. Biometrics, 44, 1049–1060.
10. Zeger, S.L. and Liang, K-Y (1992) An overview of methods for the analysis of longitudinal data. Statistics in Medicine, 11, 1825–1839.