Friday, February 11, 2011

Statistics at Square Two: Understanding Modern Statistical Applications in Medicine PDF

Rating: Author: Michael J. Campbell ISBN : 9781405134903 New from $31.72 Format: PDF
Download for free medical books PRETITLE Statistics at Square Two: Understanding Modern Statistical Applications in Medicine [Paperback] POSTTITLE from 4shared, mediafire, hotfile, and mirror link
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. 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.

Direct download links available for PRETITLE Statistics at Square Two: Understanding Modern Statistical Applications in Medicine [Paperback] POSTTITLE
  • Paperback: 144 pages
  • Publisher: BMJ Books; 2 edition (June 6, 2006)
  • Language: English
  • ISBN-10: 1405134909
  • ISBN-13: 978-1405134903
  • Product Dimensions: 0.3 x 5.4 x 8.4 inches
  • Shipping Weight: 7.8 ounces (View shipping rates and policies)

Statistics at Square Two: Understanding Modern Statistical Applications in Medicine PDF

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. 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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