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Medical Statistics at a Glance, 3rd Edition
 

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ÃâÆÇ»ç Wiley-Blackwell
ÀúÀÚ Aviva Petrie, Caroline Sabin
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ISBN 140518051X / 9781405180511
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--- Description ---

The at a Glance series is popular among medical students and junior doctors for its concise and simple approach and excellent illustrations.

Each bite-sized chapter incorporates colour summary diagrams with corresponding explanatory text. Covering a wide range of topics, books in the at a Glance series are ideal as introductory subject texts or for revision purposes, and are useful throughout medical school and beyond.

Everything you need to know about Medical Statistics...at a Glance!

Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures.

This new edition of Medical Statistics at a Glance:

* Presents key facts accompanied by clear and informative tables and diagrams
* Focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis rather than complex hand calculations
* Includes extensive cross-referencing, a comprehensive glossary of terms and flow-charts to make it easier to choose appropriate tests
* Now provides the learning objectives for each chapter
* Includes a new chapter on Developing Prognostic Scores
* Includes new or expanded material on study management, multi-centre studies, sequential trials, bias and different methods to remove confounding in observational studies, multiple comparisons, ROC curves and * * checking assumptions in a logistic regression analysis
* The companion website at www.medstatsaag.com contains supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment.
* Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.

Reviews of the previous editions

"The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose. It is now a valuable companion to my formal statistics course."
–International Journal of Epidemiology

"I heartily recommend it, especially to first years, but it's equally appropriate for an intercalated BSc or Postgraduate research. If statistics give you headaches - buy it. If statistics are all you think about - buy it."
–GKT Gazette

"...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book."
–4th Year Medical Student, Barts and the London Chronicle, Spring 2003

Titles of related interest

* Essential Medical Statistics, 2nd Edition; B.R. Kirkwood & J.A.C. Sterne; 2003; 9780865428713
* Statistical Methods in Medical Research, 4th Edition; P. Armitage, G. Berry & J.N.S. Matthews; 2001; 9780632052578
* Statistics at Square One, 11th Edition – Forthcoming; M.J. Campbell; June 2009; 9781405191005
* Statistics at Square Two, 2nd Edition; M.J. Campbell; 2006; 9781405134903

--- Author Information ---

Aviva Petrie, Head of Biostatistics Unit and Senior Lecturer, Eastman Dental Institute, University College London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine

Caroline Sabin, Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London.
 
 
 
Preface.
Learning objectives.

Handling data.

1 Types of data.

2 Data entry.

3 Error checking and outliers.

4 Displaying data graphically.

5 Describing data: the ¡®average¡¯.

6 Describing data: the ¡®spread¡¯.

7 Theoretical distributions: the Normal distribution.

8 Theoretical distributions: other distributions.

9 Transformations.

Sampling and estimation.

10 Sampling and sampling distributions.

11 Confidence intervals.

Study design.

12 Study design I.

13 Study design II.

14 Clinical trials.

15 Cohort studies.

16 Case–control studies.

Hypothesis testing.

17 Hypothesis testing.

18 Errors in hypothesis testing.

Basic techniques for analysing data.

Numerical data.

19 Numerical data: a single group.

20 Numerical data: two related groups.

21 Numerical data: two unrelated groups.

22 Numerical data: more than two groups.

Categorical data.

23 Categorical data: a single proportion.

24 Categorical data: two proportions.

25 Categorical data: more than two categories.

Regression and correlation.

26 Correlation 67.

27 The theory of linear regression.

28 Performing a linear regression analysis.

29 Multiple linear regression.

30 Binary outcomes and logistic regression.

31 Rates and Poisson regression.

32 Generalized linear models.

33 Explanatory variables in statistical models.

Important considerations.

34 Bias and confounding.

35 Checking assumptions.

36 Sample size calculations.

37 Presenting results.

Additional chapters.

38 Diagnostic tools.

39 Assessing agreement.

40 Evidence-based medicine.

41 Methods for clustered data.

42 Regression methods for clustered data.

43 Systematic reviews and meta-analysis.

44 Survival analysis.

45 Bayesian methods.

46 Developing prognostic scores.


Appendices.

A Statistical tables.

B Altman¡¯s nomogram for sample size calculations.

C Typical computer output.

D Glossary of terms.

Index
 
 
 
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