Models for repeated measurements
Author(s)
Bibliographic Information
Models for repeated measurements
（Oxford statistical science series, 10）
Clarendon Press , Oxford University Press, 1993
Available at / 22 libraries
-
No Libraries matched.
- Remove all filters.
Note
Bibliography: p. [303]-406
Includes index
Description and Table of Contents
Description
This book is organized into four parts. In the first part, the general context of repeated measurements in presented. The three basic types of response variables, continuous (normal), categorical and count, and duration, are introduced. The ways in which such repeated observations are interdependent, through heterogenity and time dependence, are discussed. A framework for constructing suitable models is developed, with the introduction of the necessary concepts of multivariate distributions and stochastic processes. In the following three parts, a large number of concrete examples, including the data tables, is presented to illustrate the models available. Each of these parts corresponds to one of the types of responses mentioned above.
Table of Contents
- Basic concepts
- Fundamentals of modelling
- Heterogeneous populations
- Longitudinal studies
- Overdispersion
- Longitudinal discrete data
- Frailty
- Event histories. Appendices: data tables
- programs used.
by "Nielsen BookData"