Modelling Frequency and Count Data

Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immedi...

Full description

Saved in:
Bibliographic Details
Main Author Lindsey, J. K
Format eBook Book
LanguageEnglish
Published Oxford Clarendon Press 1995
Oxford University Press
Oxford University Press, Incorporated
Edition1
SeriesOxford Statistical Science Series
Subjects
Applied
Applied mathematics
Biomathematics and Statistics
Epidemiology
Epidemiology & medical statistics
MATHEMATICS
MEDICAL
Multivariate analysis
Probabilities & applied mathematics
Probability & Statistics
Probability & statistics
Probability and Statistics
Public Health
Online AccessGet full text

Cover

More Information
Summary:Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.
Bibliography:Includes bibliographical references and index
ISBN:0191660701
9780191660702
0198523319
9780198523314
DOI:10.1093/oso/9780198523314.001.0001