Multilevel modelling of health statistics
By: edited by A.H. Leyland, H. Goldstein.
Contributors: Leyland, A. H.; Goldstein, Harvey.
Series: Wiley series in probability and statistics
Publisher: Wiley
Published: 2001
Place of publication: Chichester; New York
Language: eng
Number of pages: 217
Subjects: Medical statistics.; Multivariate analysis.; Linear models (Statistics); Statistics -- methods.; Models, Statistical.
Description: Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested within higher levels of classification. In health care research, for example, a study may be undertaken to determine the variability of patient outcomes where these also vary by hospital or health care region. Inference can then be made on the efficacy of health care practices. This book provides the reader with the analytical techniques required to study such data sets.
Notes: Includes bibliographical references (p. [205]-212) and index.
Table of contents: title: Multilevel data and their analysis; title: Modeling repeated measurements; title: Binomial regression; title: Poisson regression; title: Multivariate multilevel models; title: Outliers, robustness and the detection of discrepant data; title: Modeling non-hierarchical structures; title: Multinomial regression; title: Institutional performance; title: Spatial analysis; title: Sampling; title: Further topics in multilevel modeling; title: Software for multilevel analysis.