Modern medical statistics: a practical guide
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Arnold
2003
|
| Ausgabe: | 1. publ. in Great Britain |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 235 S. graph. Darst., Kt. |
| ISBN: | 0340808691 |
Internformat
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| 250 | |a 1. publ. in Great Britain | ||
| 264 | 1 | |a London |b Arnold |c 2003 | |
| 300 | |a XIII, 235 S. |b graph. Darst., Kt. | ||
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| 650 | 7 | |a Estatística (métodos) |2 larpcal | |
| 650 | 7 | |a Medicina (pesquisa) |2 larpcal | |
| 650 | 7 | |a Meta análise |2 larpcal | |
| 650 | 4 | |a Biomedical Research | |
| 650 | 4 | |a Medical statistics | |
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Datensatz im Suchindex
| _version_ | 1804130159342649344 |
|---|---|
| adam_text | Contents
Preface ix
Prologue xi
1. The Generalized Linear Model 1
1.1 Introduction 1
1.2 The generalized linear model a brief non technical account 1
1.3 Examples of the application of generalized linear models 3
1.4 Poisson regression 13
1.5 Overdispersion 17
1.6 Summary 20
2. Generalized Linear Models for Longitudinal Data 21
2.1 Introduction 21
2.2 Marginal and conditional regression models 22
2.3 Marginal and conditional regression models for continuous
responses with Gaussian errors 28
2.4 Marginal and conditional regression models for non normal
responses 35
2.5 Summary 44
3. Missing Values, Drop outs, Compliance and Intention to Treat 46
3.1 Introduction 46
3.2 Missing values and drop outs 46
3.3 Modelling longitudinal data containing ignorable missing values 58
3.4 Non ignorable missing values 60
3.5 Compliance and intention to treat 61
3.6 Summary 66
4. Generalized Additive Models 67
4.1 Introduction 67
4.2 Scatterplot smoothers 67
4.3 Additive and generalized additive models 72
4.4 Examples of the application of GAMs 72
4.5 Summary 78
vi Contents
5. Classification and Regression Trees 80
5.1 Introduction 80
5.2 Tree based models 81
5.3 Birthweight of babies 83
5.4 Summary 96
6. Survival Analysis I: Cox s Regression 98
6.1 Introduction 98
6.2 The survivor function 99
6.3 The hazard function 103
6.4 Cox s proportional hazards model 105
6.5 Left truncation 107
6.6 Extending Cox s model by stratification 109
6.7 Checking the specification of a Cox model 110
6.8 Summary 113
7. Survival Analysis II: Time dependent Covariates, Frailty and
Tree Models 115
7.1 Introduction 115
7.2 Time dependent covariates 115
7.3 Random effects models for survival data 122
7.4 Tree structured survival analysis 124
7.5 Summary 131
8. Bayesian Methods and Meta analysis 133
8.1 Introduction 133
8.2 Bayesian methods 133
8.3 Meta analysis 139
8.4 Summary 153
9. Exact Inference for Categorical Data 155
9.1 Introduction 155
9.2 Small expected values in contingency tables, Yates correction and
Fisher s exact test 155
9.3 Examples of the use of exact p values 157
9.4 Logistic regression and conditional logistic regression for
sparse data 160
9.5 Summary 165
10. Finite Mixture Models 167
10.1 Introduction 167
10.2 Finite mixture distributions 167
10.3 Estimating the parameters in finite mixture models 168
10.4 Some examples of the application of finite mixture densities in
medical research 170
10.5 Latent class analysis mixtures for binary data 179
10.6 Summary 182
Glossary 184
Contents vii
Appendix A: Statistical Graphics in Medical Investigations 190
A.I Introduction 190
A.2 Probability plots 190
A. 3 Scatterplots and beyond 192
A.4 Scatterplot matrices 205
A.5 Coplots and trellis graphics 206
Appendix B: Answers to Selected Exercises 214
References 220
Index 229
|
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| dewey-ones | 610 - Medicine and health |
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| dewey-sort | 3610 272 17 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| edition | 1. publ. in Great Britain |
| format | Book |
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| indexdate | 2024-07-09T19:16:36Z |
| institution | BVB |
| isbn | 0340808691 |
| language | English |
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| spelling | Everitt, Brian 1944- Verfasser (DE-588)121459411 aut Modern medical statistics a practical guide Brian S. Everitt 1. publ. in Great Britain London Arnold 2003 XIII, 235 S. graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Estatística (métodos) larpcal Medicina (pesquisa) larpcal Meta análise larpcal Biomedical Research Medical statistics Statistics as Topic methods HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010440691&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Everitt, Brian 1944- Modern medical statistics a practical guide Estatística (métodos) larpcal Medicina (pesquisa) larpcal Meta análise larpcal Biomedical Research Medical statistics Statistics as Topic methods |
| title | Modern medical statistics a practical guide |
| title_auth | Modern medical statistics a practical guide |
| title_exact_search | Modern medical statistics a practical guide |
| title_full | Modern medical statistics a practical guide Brian S. Everitt |
| title_fullStr | Modern medical statistics a practical guide Brian S. Everitt |
| title_full_unstemmed | Modern medical statistics a practical guide Brian S. Everitt |
| title_short | Modern medical statistics |
| title_sort | modern medical statistics a practical guide |
| title_sub | a practical guide |
| topic | Estatística (métodos) larpcal Medicina (pesquisa) larpcal Meta análise larpcal Biomedical Research Medical statistics Statistics as Topic methods |
| topic_facet | Estatística (métodos) Medicina (pesquisa) Meta análise Biomedical Research Medical statistics Statistics as Topic methods |
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