Statistics at Square Two
Understanding Modern Statistical Applications in Medicine
2nd Edition
Published on 3. July 2013
144 pages
978-1-118-70980-1 (ISBN)
Description
Updated companion volume to the ever popular Statistics atSquare One (SS1)
Statistics at Square Two, Second Edition, helps youevaluate the many statistical methods in current use. Going beyondthe basics of SS1, it covers sophisticated methods and highlightsmisunderstandings. Easy to read, it includes annotated computeroutputs and keeps formulas to a minimum.
Worked examples of methods such as multiple and logicalregression reinforce the text. Each chapter concludes withexercises to stimulate learning.
All those who need to understand statistics in clinical researchpapers and apply them in their own research will value this compactand coherent guide.
Reviews / Votes
From a review of the previous edition "This closely written but readable presentation ofadvanced methods increasingly used in the medical literature usesclinical examples to give meaning to these statistical methods. Theexperienced author reports the essence of statistical methods withonly minimal use of mathematical notation. Underlying concepts arewell described in the introductory chapter and in appendices, andthe statistical references are excellent. Cautions on the misuse ofmethods abound. Useful guidance on presentation of methods andresults appears in each chapter. Brief presentations of thisquality are rare." Annals of Internal Medicine, December 2001 About SS1 & SS2 "These two books are quite amazing. The depth and detailcontained in these two tiny volumes is quite stunning. The way thetwo books have been written is succinct, and yet, does allow thestudent to understand the way the material is presented." Senior Lecturer, Tissue Viability UnitMore details
Other editions
Additional editions
Software
01/2008
Wiley
€22.02
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Michael J. Campbell
Statistics at Square Two
Understanding Modern Statistical Applications in Medicine
Book
05/2006
2nd Edition
BMJ BOOKS
€40.80
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Person
M J Campbell, Professor of Medical Statistics, University of Sheffield, UK
Content
1 Models, tests and data.
2 Multiple linear regression.
3 Logistic regression.
4 Survival analysis.
5 Random effects models.
6 Other models.
.
Appendix 1: Exponentials and logarithms.
Appendix 2: Maximum likelihood and significance tests.
Appendix 3: Bootstrapping and variance robust standarderrors.
Appendix 4: Bayesian methods.
Answers to exercises.
Glossary.
Index
