In line with the other books in the at a Glance series, Medical Statistics at a Glance leads the reader through a number of self-contained topics, each covering a different aspect of medical statistics. The majority of these use the standard 'At a Glance' format of two pages per topic. The authors h
Medical Statistics at a Glance
β Scribed by Aviva Petrie, Caroline Sabin
- Publisher
- Wiley Blackwell
- Year
- 2020
- Tongue
- English
- Leaves
- 208
- Edition
- 4
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Medical Statistics at a Glance
Also available to buy!
Contents
Preface
Part 1 Handling data
1 Types of data
2 Data entry
3 Error checking and outliers
4 Displaying data diagrammatically
5 Describing data: the βaverageβ
6 Describing data: the βspreadβ
7 Theoretical distributions: the Normal distribution
8 Theoretical distributions: other distributions
9 Transformations
Part 2 Sampling and estimation
10 Sampling and sampling distributions
11 Confidence intervals
Part 3 Study design
12 Study design I
13 Study design II
14 Clinical trials
15 Cohort studies
16 Caseβcontrol studies
Part 4 Hypothesis testing
17 Hypothesis testing
18 Errors in hypothesis testing
Part 5 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
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
Part 6 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 Altmanβs nomogram for sample size calculations (Chapter 36)
C Typical computer output
D Checklists and trial profile from the EQUATOR network and critical appraisal templates
E Glossary of terms
F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook
Index
Flowcharts
EULA
π SIMILAR VOLUMES
Medical Statistics at a Glance provides a concise and accessible introduction and revision aid for undergraduate medical students and anyone wanting a straightforward introduction to this complex subject. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-pag
<div><p><i>Medical Statistics at a Glance</i>Β 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.</div><p>This new e
Now in its fourth edition, <i>Medical Statistics at a Glance</i> 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 b
Univ. College London, UK. Basic introduction to the underlying concepts of medical statistics and guide to commonly used procedures. Key features include: worked examples to accompany each topic, and emphasis on computer analysis of data rather than hand calculations. To be used as a reference and r
Univ. College London, UK. Basic introduction to the underlying concepts of medical statistics and guide to commonly used procedures. Key features include: worked examples to accompany each topic, and emphasis on computer analysis of data rather than hand calculations. To be used as a reference and r