Medical Statistics at a Glance - Aviva Petrie, Caroline Sabin

Medical Statistics at a Glance

Buch | Softcover
208 Seiten
2019 | 4th edition
Wiley-Blackwell (Verlag)
978-1-119-16781-5 (ISBN)
41,68 inkl. MwSt
Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid.

This new edition of Medical Statistics at a Glance:
- Offers guidance on the practical application of statistical methods in conducting research and presenting results
- Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical
- Contains succinct self-contained chapters, each with one or more examples, many of them new, to illustrate the use of the methodology described in the chapter.
- Now provides templates for critical appraisal, checklists for the reporting of randomized controlled trials and observational studies and references to the EQUATOR guidelines for the presentation of study results for many other types of study
- Includes extensive cross-referencing, flowcharts to aid the choice of appropriate tests, learning objectives for each chapter, a glossary of terms and a glossary of annotated full computer output relevant to the examples in the text
- Provides cross-referencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook

Medical Statistics at a Glance is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.

Aviva Petrie is Honorary Associate Professor, Biostatistics Unit, UCL Eastman Dental Institute, London, UK.

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

Preface ... IX

Part 1 Handling data ... 1
1 Types of data ... 2
2 Data entry ... 4
3 Error checking and outliers ... 6
4 Displaying data diagrammatically ... 8
5 Describing data: the ‘average’ ... 10
6 Describing data: the ‘spread’ ... 12
7 Theoretical distributions: the Normal distribution ... 14
8 Theoretical distributions: other distributions ... 16
9 Transformations ... 18

Part 2 Sampling and estimation ... 21
10 Sampling and sampling distributions ... 22
11 Confidence intervals ... 24

Part 3 Study design ... 27
12 Study design I ... 28
13 Study design II ... 31
14 Clinical trials ... 34
15 Cohort studies ... 37
16 Case–control studies ... 40

Part 4 Hypothesis testing ... 43
17 Hypothesis testing ... 44
18 Errors in hypothesis testing ... 47

Part 5 Basic techniques for analysing data ... 51
Numerical data
19 Numerical data: a single group ... 52
20 Numerical data: two related groups ... 54
21 Numerical data: two unrelated groups ... 57
22 Numerical data: more than two groups ... 60
Categorical data
23 Categorical data: a single proportion ... 63
24 Categorical data: two proportions ... 66
25 Categorical data: more than two categories ... 69
Regression and correlation
26 Correlation ... 72
27 The theory of linear regression ... 75
28 Performing a linear regression analysis ... 77
29 Multiple linear regression ... 81
30 Binary outcomes and logistic regression ... 85
31 Rates and Poisson regression ... 89
32 Generalized linear models ... 93
33 Explanatory variables in statistical models ... 96
Important considerations
34 Bias and confounding ... 100
35 Checking assumptions ... 104
36 Sample size calculations ... 107
37 Presenting results ... 111

Part 6 Additional chapters ... 115
38 Diagnostic tools ... 116
39 Assessing agreement ... 119
40 Evidence-based medicine ... 124
41 Methods for clustered data ... 127
42 Regression methods for clustered data ... 130
43 Systematic reviews and meta-analysis ... 134
44 Survival analysis ... 138
45 Bayesian methods ... 142
46 Developing prognostic scores ... 144

Appendices ... 147
A Statistical tables ... 148
B Altman’s nomogram for sample size calculations (Chapter 36) ... 155
C Typical computer output ... 156
D Checklists and trial profile from the EQUATOR network and critical appraisal templates ... 169
E Glossary of terms ... 178
F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook ... 188

Index ... 190

Erscheinungsdatum
Reihe/Serie At a Glance
Verlagsort Hoboken
Sprache englisch
Maße 213 x 274 mm
Gewicht 567 g
Themenwelt Medizin / Pharmazie Allgemeines / Lexika
Medizin / Pharmazie Medizinische Fachgebiete
Medizin / Pharmazie Studium
ISBN-10 1-119-16781-7 / 1119167817
ISBN-13 978-1-119-16781-5 / 9781119167815
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
medizinischer Grundwortschatz und Fachwörterlexikon für Pflegeberufe

von Karin Deschka; Marc Deschka

Buch | Softcover (2022)
Börm Bruckmeier Verlag
19,00
Kleines Lexikon - medizinische Fachbegriffe, Fremdwörter und …

von Marc Deschka

Buch | Softcover (2021)
Börm Bruckmeier (Verlag)
19,00