This text provides a quick, concise review of the pimary topics covered on emergency medicine exams. I found it to be a good way to prepare for inservice exams and the written boards.
Author(s): M. J. Campbell
Edition: annotated edition
Publisher: BMJ Books
Year: 2001
Language: English
Pages: 143
Fron Page......Page 1
Contents......Page 4
Preface ix......Page 8
1.1 Basics 1......Page 10
1.2 Models 2......Page 11
1.3 Types of data 3......Page 12
1.4 Significance tests 5......Page 14
1.5 Confidence intervals 6......Page 15
1.7 Model fitting and analysis: exploratory
and confirmatory analyses 7......Page 16
1.9 Bayesian methods 8......Page 17
1.10 Reporting statistical results in the literature 9......Page 18
1.11 Reading statistics in the literature 10......Page 19
2.1 The model 12......Page 21
2.2 Uses of multiple regression 13......Page 22
2.3 Two independent variables 14......Page 23
2.4 Interpreting a computer output 19......Page 28
2.5 Multiple regression in action 25......Page 34
2.6 Assumptions underlying the models 26......Page 35
2.7 Model sensitivity 28......Page 37
2.8 Stepwise regression 31......Page 40
2.10 Reading the results of a multiple regression 32......Page 41
Frequently asked questions 33......Page 42
Multiple choice questions 35......Page 44
3.1 The model 37......Page 46
3.3 Interpreting a computer output: grouped analysis 40......Page 49
3.4 Logistic regression in action 44......Page 53
3.5 Model checking 45......Page 54
3.6 Interpreting a computer output: ungrouped analysis 47......Page 56
3.7 Case–control studies 49......Page 58
3.8 Interpreting a computer output: unmatched
case–control study 50......Page 59
3.9 Matched case–control studies 51......Page 60
3.10 Interpreting a computer output: matched
case–control study 52......Page 61
3.12 Reporting the results of logistic regression 55......Page 64
Frequently asked questions 56......Page 65
Multiple choice questions 57......Page 66
4.1 Introduction 59......Page 68
4.2 The model 60......Page 69
4.4 Interpreting a computer output 62......Page 71
4.6 Interpretation of the model 65......Page 74
4.7 Generalisations of the model 66......Page 75
4.8 Model checking 67......Page 76
4.9 Reporting the results of a survival analysis 69......Page 78
Exercise 70......Page 79
5.1 Introduction 74......Page 83
5.2 Models for random effects 75......Page 84
5.3 Random vs fixed effects 76......Page 85
5.4 Use of random effects models 77......Page 86
5.5 Random effects models in action 78......Page 87
5.6 Ordinary least squares at the group level 79......Page 88
5.7 Computer analysis 80......Page 89
5.8 Model checking 84......Page 93
5.10 Reading about the results of a random
effects analysis 85......Page 94
Frequently asked question 86......Page 95
6.1 Poisson regression 88......Page 97
6.2 Ordinal regression 92......Page 101
6.3 Time-series regression 97......Page 106
6.4 Reporting Poisson, ordinal or time-series
regression in the literature 100......Page 109
6.5 Reading about the results of Poisson, ordinal
or time-series regression in the literature 101......Page 110
Appendix 1 Exponentials and logarithms 103......Page 112
Appendix 2 Maximum likelihood and significance tests
105......Page 114
Appendix 3 Bootstrapping 115......Page 124
Appendix 4 Bayesian Methods 121......Page 130
Answers to exercises 125......Page 134
Index 127......Page 136
