Monday, August 23, 2010

Statistics at Square Two

Statistics at Square Two



Author: Michael J. Campbell
Edition: 2
Publisher: BMJ Books
Binding: Kindle Edition
ISBN: B00BSDUAGM



Statistics at Square Two: Understanding Modern Statistical Applications in Medicine


Updated companion volume to the ever popular Statistics at Square One (SS1)

Statistics at Square Two, Second Edition, helps you evaluate the many statistical methods in current use. Medical books Statistics at Square Two. Going beyond the basics of SS1, it covers sophisticated methods and highlights misunderstandings. Easy to read, it includes annotated computer outputs and keeps formulas to a minimum.


Worked examples of methods such as multiple and logical regression reinforce the text. Each chapter concludes with exercises to stimulate learning Medical books Statistics at Square Two: Understanding Modern Statistical Applications in Medicine. Statistics at Square Two: Understanding Modern Statistical Applications in Medicine: Michael J. Campbell

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Statistics at Square Two: Understanding Modern Statistical Applications in Medicine: Michael J. Campbell

Updated companion volume to the ever popular Statistics at Square One (SS1) Statistics at Square Two, Second Edition, helps you evaluate the1 Models, tests and data. 2 Multiple Linear regression. 3 Logistic regression. 4 Survival analysis. 5

Statistics at Square Two Understanding Modern Statistical Applications in Medicine, ISBN-13: 9781405134903, ISBN-10: 1405134909

Statistics at Square Two : Paperback : John Wiley and Sons Ltd : 9781405134903 : 1405134909 : 13 Jun 2006 : Updated companion volume to the ever popular Statistics at Square One (SS1) Statistics at Square Two, Second Edition, helps you evaluate the many statistical methods in current use. Going beyond the basics of SS1, it covers sophisticated methods and highlights misunderstandings.



Medical Book Statistics at Square Two



Going beyond the basics of SS1, it covers sophisticated methods and highlights misunderstandings. Easy to read, it includes annotated computer outputs and keeps formulas to a minimum.


Worked examples of methods such as multiple and logical regression reinforce the text. Each chapter concludes with exercises to stimulate learning.


All those who need to understand statistics in clinical research papers and apply them in their own research will value this compact and coherent guide.

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