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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:
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.
Author: Michael J. Campbell, Richard M. Jacques
ISBN-10: 1119401364
ISBN-13: 9781119401360
Publisher: Wiley-Blackwell
Language: English
Published: 04/24/2023
Pages: 208
Format: Paperback
Weight: 0.75lbs
Size: 9.61h x 6.69w x 0.44d
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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