3. Auflage - Juli 2009
32,90 Euro
2009. 180 Seiten, Softcover
- Praktikerbuch -
ISBN-10: 1-4051-8051-X
ISBN-13: 978-1-4051-8051-1 - John Wiley & Sons

Preis inkl. Mehrwertsteuer zzgl. Versandkosten.





Probekapitel

Kurzbeschreibung
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

Aus dem Inhalt
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