Handbook of Statistical Analyses Using SAS, Second Edition

Der, Geoff,Everitt, Brian S.

ISBN 10: 158488245X / ISBN 13: 9781584882459

Published by Chapman and Hall/CRC, 2001

About this Item

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Bibliographic Details

Title: Handbook of Statistical Analyses Using SAS, ...

Publisher: Chapman and Hall/CRC

Publication Date: 2001

Binding: paperback

Condition: Very Good

Edition: 2nd Edition

About this title

Synopsis:

Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users.

A Handbook of Statistical Analyses using SAS, Second Edition comes to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following:

Data description and simple inference for categorical variables

Generalized linear models

Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect models

Researcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional.

About the Author:

Geoff Der works as a consulting statistician at the Medical Research Council Social and Public Health Sciences Unit in Glasgow, Scotland. His current research interests include the relationship between cognitive functioning and health, income and health, and models for longitudinal data.

In 2005, Brian S. Everitt retired from being head of the Department of Biostatistics and Computing in the Institute of Psychiatry at King’s College London, UK. Currently working on his 60th statistics book, he acts as a statistical consultant to a number of companies.