Description

Book Synopsis


Table of Contents

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

Medical Statistics at a Glance

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Order before 4pm today for delivery by Tue 23 Dec 2025.

A Paperback / softback by Aviva Petrie, Caroline Sabin

15 in stock


    View other formats and editions of Medical Statistics at a Glance by Aviva Petrie

    Publisher: John Wiley and Sons Ltd
    Publication Date: 04/10/2019
    ISBN13: 9781119167815, 978-1119167815
    ISBN10: 1119167817

    Description

    Book Synopsis


    Table of Contents

    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

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