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English
Wiley-Blackwell
09 March 2023
STATISTICS AT SQUARE TWO An easy-to-follow exploration of intermediate statistical techniques used in medical research

In the newly revised third edition of Statistics at Square Two: Understanding Modern Statistical Applications in Medicine, a team of distinguished statisticians delivers an accessible and intuitive discussion of advanced statistical methods for readers and users of scientific medical literature. This will allow readers to engage critically with modern research as the authors explain the correct interpretation of results in the medical literature.

The book includes two brand new chapters covering meta-analysis and time-series analysis as well as new references to the many checklists that have appeared in recent years to enable better reporting of contemporary research. Most examples have been updated as well, and each chapter contains practice exercises and answers. Readers will also find sample code (in R) for many of the analyses, in addition to:

A thorough introduction to models and data, including the different types of data, statistical models, and computer-intensive methods

Comprehensive explorations of multiple linear regression, including the interpretation of computer output, diagnostic statistics such as influential points, and many uses of multiple regression

Practical discussions of multiple logistic regression, survival analysis, Poisson regression and random effects models including their uses, examples in the medical literature, and strategies for interpreting computer output

Perfect for anyone hoping to better understand the statistics presented in contemporary medical research, Statistics at Square Two: Understanding Modern Statistical Applications in Medicine will also benefit postgraduate students studying statistics and medicine.
By:   , ,
Imprint:   Wiley-Blackwell
Country of Publication:   United States
Edition:   3rd edition
Dimensions:   Height: 216mm,  Width: 138mm,  Spine: 13mm
Weight:   369g
ISBN:   9781119401360
ISBN 10:   1119401364
Pages:   208
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Michael J. Campbell is Emeritus Professor of Medical Statistics at the University of Sheffield in the United Kingdom. Richard M. Jacques is a Senior Lecturer in Medical Statistics at the University of Sheffield in the United Kingdom.

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