Models for Repeated Measurements

This monograph presents ways of constructing and using statistical models of repeated measurements in a variety of response variables. They are illustrated by a large number of practical examples from many disciplines. An extensive bibliography is also included.

---

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.