Statistics at square two: understanding modern statistical applications in medicine
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
BMJ Books [u.a.]
2006
|
| Ausgabe: | 2. ed. |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | X, 133 S. graph. Darst. |
| ISBN: | 1405134909 9781405134903 |
Internformat
MARC
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| 020 | |a 9781405134903 |9 978-1-4051-3490-3 | ||
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| 100 | 1 | |a Campbell, Michael J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistics at square two |b understanding modern statistical applications in medicine |c Michael J. Campbell |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a London |b BMJ Books [u.a.] |c 2006 | |
| 300 | |a X, 133 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-022134964 | ||
Datensatz im Suchindex
| _version_ | 1804145169631543296 |
|---|---|
| adam_text | Contents
Preface, viii
Chapter 1: Models, tests and data, 1
1.1 Basics, 1
1.2 Models, 2
1.3 Types of data, 3
1.4 Significance tests, 4
1.5 Confidence intervals, 5
1.6 Statistical tests using models, 6
1.7 Model fitting and analysis: confirmatory and exploratory analyses, 6
1.8 Computer-intensive methods, 7
1.9 Bayesian methods, 7
1.10 Missing values, 7
1.11 Reporting statistical results in the literature, 8
1.12 Reading statistics in the literature, 9
Chapter 2: Multiple linear regression, 10
2.1 The model, 10
2.2 Uses of multiple regression, 11
2.3 Two independent variables, 11
2.4 Interpreting a computer output, 16
2.5 Multiple regression in action, 22
2.6 Assumptions underlying the models, 23
2.7 Model sensitivity, 25
2.8 Stepwise regression, 27
2.9 Reporting the results of a multiple regression, 28
2.10 Reading the results of a multiple regression, 28
Chapter 3: Logistic regression, 32
3.1 The model, 32
3.2 Uses of logistic regression, 34
v
vi Contents
3.3 Interpreting a computer output: grouped analysis, 35
3.4 Logistic regression in action, 40
3.5 Model checking, 41
3.6 Interpreting computer output: ungrouped analysis, 43
3.7 Case-control studies, 45
3.8 Interpreting computer output: unmatched case-control study, 45
3.9 Matched case-control studies, 47
3.10 Interpreting computer output: matched case-control study, 47
3.11 Conditional logistic regression in action, 49
3.12 Reporting the results of logistic regression, 50
3.13 Reading about logistic regression, 50
Chapter 4: Survival analysis, 53
4.1 Introduction, 53
4.2 The model, 54
4.3 Uses of Cox regression, 56
4.4 Interpreting a computer output, 56
4.5 Survival analysis in action, 58
4.6 Interpretation of the model, 59
4.7 Generalisations of the model, 59
4.8 Model checking, 60
4.9 Reporting the results of a survival analysis, 62
4.10 Reading about the results of a survival analysis, 63
Chapter 5: Random effects models, 67
5.1 Introduction, 67
5.2 Models for random effects, 68
5.3 Random vs fixed effects, 69
5.4 Use of random effects models, 69
5.5 Random effects models in action, 72
5.6 Ordinary least squares at the group level, 74
5.7 Computer analysis, 76
5.8 Model checking, 80
5.9 Reporting the results of random effects analysis, 81
5.10 Reading about the results of random effects analysis, 81
Chapter 6: Other models, 84
6.1 Poisson regression, 84
6.2 Ordinal regression, 89
6.3 Time series regression, 92
Contents vii
6.4 Reporting Poisson, ordinal or time series regression
in the literature, 95
6.5 Reading about the results of Poisson, ordinal or time series
regression in the literature, 96
Appendix 1: Exponentials and logarithms, 98
A 1.1 Logarithms, 98
Appendix 2: Maximum likelihood and significance tests, 100
A2.1 Binomial models and likelihood, 100
A2.2 Poisson model, 102
A2.3 Normal model, 102
A2.4 Hypothesis testing: LR test, 104
A2.5 Wald test, 105
A2.6 Score test, 106
A2.7 Which method to choose?, 106
A2.8 Confidence intervals, 107
Appendix 3: Bootstrapping and variance robust
standard errors, 109
A3.1 Computer analysis, 111
A3.2 The bootstrap in action, 113
A3.3 Robust or sandwich estimate SE, 113
A3.4 Reporting the bootstrap and robust SEs in the literature, 115
Appendix 4: Bayesian methods, 117
A4.1 Reporting Bayesian methods in the literature, 118
Answers to exercises, 119
Glossary, 123
Index, 129
|
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
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| dewey-sort | 3610.21 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| edition | 2. ed. |
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| id | DE-604.BV026575116 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T23:15:11Z |
| institution | BVB |
| isbn | 1405134909 9781405134903 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-022134964 |
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| spelling | Campbell, Michael J. Verfasser aut Statistics at square two understanding modern statistical applications in medicine Michael J. Campbell 2. ed. London BMJ Books [u.a.] 2006 X, 133 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022134964&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Campbell, Michael J. Statistics at square two understanding modern statistical applications in medicine |
| title | Statistics at square two understanding modern statistical applications in medicine |
| title_auth | Statistics at square two understanding modern statistical applications in medicine |
| title_exact_search | Statistics at square two understanding modern statistical applications in medicine |
| title_full | Statistics at square two understanding modern statistical applications in medicine Michael J. Campbell |
| title_fullStr | Statistics at square two understanding modern statistical applications in medicine Michael J. Campbell |
| title_full_unstemmed | Statistics at square two understanding modern statistical applications in medicine Michael J. Campbell |
| title_short | Statistics at square two |
| title_sort | statistics at square two understanding modern statistical applications in medicine |
| title_sub | understanding modern statistical applications in medicine |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022134964&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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