Modelling peritonitis rates and associated risk factors for individuals on continuous ambulatory peritoneal dialysis
- 1 March 1990
- journal article
- clinical trial
- Published by Wiley in Statistics in Medicine
- Vol. 9 (3) , 263-271
- https://doi.org/10.1002/sim.4780090309
Abstract
A mixed effects Poisson regression model is proposed for analysing potential risk factors associated with peritonitis, a bacterial infection of the peritoneum which is common among individuals on continuous ambulatory peritoneal dialysis (CAPD). The model incorporates a set of fixed effects corresponding to concomitant information collected across individuals as well as a random effect due to individuals. The method of maximum likelihood is used to estimate the unknown parameters. When applied to clinical data obtained on 81 CAPD patients from four centres, the mixed effects model demonstrated a much better fit than the corresponding fixed effects Poisson regression model.Keywords
This publication has 14 references indexed in Scilit:
- Mixed Poisson Likelihood Regression Models for Longitudinal Interval Count DataBiometrics, 1988
- Negative binomial and mixed Poisson regressionThe Canadian Journal of Statistics / La Revue Canadienne de Statistique, 1987
- Regression Methods for Poisson Process DataJournal of the American Statistical Association, 1987
- A Biometrics Invited Paper with Discussion: The Natural Variability of Vital Rates and Associated StatisticsBiometrics, 1986
- A Note on the Estimation of the Mean Intensity of Insect InfestationPublished by JSTOR ,1984
- Extra-Poisson Variation in Log-Linear ModelsJournal of the Royal Statistical Society Series C: Applied Statistics, 1984
- The Analysis of Rates Using Poisson Regression ModelsPublished by JSTOR ,1983
- Analysis of Polymorphic Variation in Different Types of HabitatBiometrics, 1983
- A Variance Components Approach to Categorical Data Models with Heterogenous Cell Populations: Analysis of Spatial Gradients in Lung Cancer Mortality Rates in North Carolina CountiesBiometrics, 1981
- The Analysis of Rates and of Survivorship Using Log-Linear ModelsPublished by JSTOR ,1980