This book should be of interest to senior undergraduate and postgraduate students of applied statistics.

The analysis of survival data is a traditional statistical theme. However, in the last 10-15 years there has been an explosion of interest resulting in the development of many new theoretical ideas and useful methods, especially in the study of the relationship between survival times and explanatory variables. This monograph brings together the older and newer ideas to present a comprehensive up-to-date account of the field.

The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of success depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on maximum likelihood methods.

This book is a follow-up to the authors' previous book Asymptotic Techniques in Statistics. It is a systematic account of an important area of theoretical statistics.

Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.

The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning...