"Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it…
Applied longitudinal analysis
by Laird, Nan M., Fitzmaurice, Garrett M., Ware, James H.
"Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of G…
"Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of G…
"Designed for the undergraduate and graduate student across a range of fields, from the health disciplines to forestry and animal husbandry, the text takes an applied and computer-oriented approach to its topical coverage. Its chapters take you from the basic concepts of probabi…
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately ex…
Primarily aimed at medical researchers, this book aims to provide an understanding of the basic principles that underlie research design, data analysis and the interpretation of results, and to enable the reader to carry out a wide range of statistical analyses.
"Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. Medical Sta…
Designed to support the best-selling third edition of Medical Statistics at a Glance.
