Quantitative methods for health research: a practical interactive guide to epidemiology and statistics
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester
Wiley
2008
|
| Schlagworte: | |
| Online-Zugang: | Publisher description Table of contents only Inhaltsverzeichnis |
| Beschreibung: | XIII, 538 S. Ill., graph. Darst. |
| ISBN: | 9780470022740 0470022744 9780470022757 |
Internformat
MARC
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| 100 | 1 | |a Bruce, Nigel |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Quantitative methods for health research |b a practical interactive guide to epidemiology and statistics |c Nigel Bruce, Daniel Pope, and Debbi Stanistreet |
| 264 | 1 | |a Chichester |b Wiley |c 2008 | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Preface ix
1 Philosophy of science and introduction to epidemiology 1
Introduction and learning objectives 1
1.1 Approaches to scientific research 2
1.2 Formulating a research question 9
1.3 Rates: incidence and prevalence 12
1.4 Concepts of prevention 18
1.5 Answers to self-assessment exercises 21
2 Routine data sources and descriptive epidemiology 29
Introduction and learning objectives 29
2.1 Routine collection of health information 30
2.2 Descriptive epidemiology 38
2.3 Information on the environment 46
2.4 Displaying, describing and presenting data 48
2.5 Summary of routinely available data 78
2.6 Descriptive epidemiology in action 87
2.7 Overview of epidemiological study designs 91
2.8 Answers to self-assessment exercises 94
3 Standardisation 111
Introduction and learning objectives 111
3.1 Health inequalities in Merseyside 111
3.2 Indirect standardisation: calculation of the standardised mortality ratio (SMR) 114
3.3 Direct standardisation 119
3.4 Standardisation for factors other than age 123
3.5 Answers to self-assessment exercises 124
4 Surveys 129
Introduction and learning objectives 129
4.1 Purpose and context 130
4.2 Sampling methods 133
4.3 The sampling frame 143
4.4 Sampling error, confidence intervals and sample size 145
4.5 Response 160
vi CONTENTS
4.6 Measurement 164
4.7 Data types and presentation 179
4.8 Answers to self-assessment exercises 184
5 Cohort studies 193
Introduction and learning objectives 193
5.1 Why do a cohort study? 194
5.2 Obtaining the sample 196
5.3 Measurement 199
5.4 Follow-up 202
5.5 Basic presentation and analysis of results 205
5.6 How large should a cohort study be? 223
5.7 Confounding 226
5.8 Simple linear regression 232
5.9 Introduction to multiple linear regression 243
5.10 Answers to self-assessment exercises 249
6 Case-control studies 257
Introduction and learning objectives 257
6.1 Why do a case-control study? 259
6.2 Key elements of study design 265
6.3 Basic unmatched and matched analysis 273
6.4 Sample size for a case-control study 281
6.5 Confounding and logistic regression 284
6.6 Answers to self-assessment exercises 298
7 Intervention studies 307
Introduction and learning objectives 307
7.1 Why do an intervention study? 309
7.2 Key elements of intervention study design 312
7.3 The analysis of intervention studies 318
7.4 Testing more complex interventions 327
7.5 How big should the trial be? 331
7.6 Further aspects of intervention study design and analysis 335
7.7 Answers to self-assessment exercises 351
8 Life tables, survival analysis and Cox regression 363
Introduction and learning objectives 363
8.1 Survival analysis 364
8.2 Cox regression 379
8.3 Current life tables 385
8.4 Answers to self-assessment exercises 389
9 Systematic reviews and meta-analysis 393
Introduction and learning objectives 393
9.1 The why and how of systematic reviews 395
9.2 The methodology of meta-analysis 409
CONTENTS vii
9.3 Systematic reviews and meta-analyses of observational studies 422
9.4 The Cochrane Collaboration 426
9.5 Answers to self-assessment exercises 429
10 Prevention strategies and evaluation of screening 433
Introduction and learning objectives 433
10.1 Concepts of risk 434
10.2 Strategies of prevention 438
10.3 Evaluation of screening programmes 446
10.4 Cohort and period effects 457
10.5 Answers to self-assessment exercises 464
11 Probability distributions, hypothesis testing and Bayesian methods 471
Introduction and learning objectives 471
11.1 Probability distributions 473
11.2 Data that do not fit a probability distribution 482
11.3 Hypothesis testing 488
11.4 Choosing an appropriate hypothesis test 5! 5
11.5 Bayesian methods 519
11.6 Answers to self-assessment exercises 523
References 527
Index 529
|
| adam_txt |
Contents
Preface ix
1 Philosophy of science and introduction to epidemiology 1
Introduction and learning objectives 1
1.1 Approaches to scientific research 2
1.2 Formulating a research question 9
1.3 Rates: incidence and prevalence 12
1.4 Concepts of prevention 18
1.5 Answers to self-assessment exercises 21
2 Routine data sources and descriptive epidemiology 29
Introduction and learning objectives 29
2.1 Routine collection of health information 30
2.2 Descriptive epidemiology 38
2.3 Information on the environment 46
2.4 Displaying, describing and presenting data 48
2.5 Summary of routinely available data 78
2.6 Descriptive epidemiology in action 87
2.7 Overview of epidemiological study designs 91
2.8 Answers to self-assessment exercises 94
3 Standardisation 111
Introduction and learning objectives 111
3.1 Health inequalities in Merseyside 111
3.2 Indirect standardisation: calculation of the standardised mortality ratio (SMR) 114
3.3 Direct standardisation 119
3.4 Standardisation for factors other than age 123
3.5 Answers to self-assessment exercises 124
4 Surveys 129
Introduction and learning objectives 129
4.1 Purpose and context 130
4.2 Sampling methods 133
4.3 The sampling frame 143
4.4 Sampling error, confidence intervals and sample size 145
4.5 Response 160
vi CONTENTS
4.6 Measurement 164
4.7 Data types and presentation 179
4.8 Answers to self-assessment exercises 184
5 Cohort studies 193
Introduction and learning objectives 193
5.1 Why do a cohort study? 194
5.2 Obtaining the sample 196
5.3 Measurement 199
5.4 Follow-up 202
5.5 Basic presentation and analysis of results 205
5.6 How large should a cohort study be? 223
5.7 Confounding 226
5.8 Simple linear regression 232
5.9 Introduction to multiple linear regression 243
5.10 Answers to self-assessment exercises 249
6 Case-control studies 257
Introduction and learning objectives 257
6.1 Why do a case-control study? 259
6.2 Key elements of study design 265
6.3 Basic unmatched and matched analysis 273
6.4 Sample size for a case-control study 281
6.5 Confounding and logistic regression 284
6.6 Answers to self-assessment exercises 298
7 Intervention studies 307
Introduction and learning objectives 307
7.1 Why do an intervention study? 309
7.2 Key elements of intervention study design 312
7.3 The analysis of intervention studies 318
7.4 Testing more complex interventions 327
7.5 How big should the trial be? 331
7.6 Further aspects of intervention study design and analysis 335
7.7 Answers to self-assessment exercises 351
8 Life tables, survival analysis and Cox regression 363
Introduction and learning objectives 363
8.1 Survival analysis 364
8.2 Cox regression 379
8.3 Current life tables 385
8.4 Answers to self-assessment exercises 389
9 Systematic reviews and meta-analysis 393
Introduction and learning objectives 393
9.1 The why and how of systematic reviews 395
9.2 The methodology of meta-analysis 409
CONTENTS vii
9.3 Systematic reviews and meta-analyses of observational studies 422
9.4 The Cochrane Collaboration 426
9.5 Answers to self-assessment exercises 429
10 Prevention strategies and evaluation of screening 433
Introduction and learning objectives 433
10.1 Concepts of risk 434
10.2 Strategies of prevention 438
10.3 Evaluation of screening programmes 446
10.4 Cohort and period effects 457
10.5 Answers to self-assessment exercises 464
11 Probability distributions, hypothesis testing and Bayesian methods 471
Introduction and learning objectives 471
11.1 Probability distributions 473
11.2 Data that do not 'fit' a probability distribution 482
11.3 Hypothesis testing 488
11.4 Choosing an appropriate hypothesis test 5! 5
11.5 Bayesian methods 519
11.6 Answers to self-assessment exercises 523
References 527
Index 529 |
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| index_date | 2024-07-02T21:23:37Z |
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| spelling | Bruce, Nigel Verfasser aut Quantitative methods for health research a practical interactive guide to epidemiology and statistics Nigel Bruce, Daniel Pope, and Debbi Stanistreet Chichester Wiley 2008 XIII, 538 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Medizin Medicine Research Methodology Health Research Methodology Epidemiology Research Methodology Epidemiology Epidemiologic Methods Biomedical Research methods Biometry methods Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Epidemiologie (DE-588)4015016-1 gnd rswk-swf Epidemiologie (DE-588)4015016-1 s Medizinische Statistik (DE-588)4127563-9 s DE-604 Pope, Daniel Verfasser aut Stanistreet, Debbi 1963- Verfasser (DE-588)135837324 aut http://www.loc.gov/catdir/enhancements/fy0810/2008002734-d.html Publisher description http://www.loc.gov/catdir/enhancements/fy0810/2008002734-t.html Table of contents only HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016583489&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bruce, Nigel Pope, Daniel Stanistreet, Debbi 1963- Quantitative methods for health research a practical interactive guide to epidemiology and statistics Medizin Medicine Research Methodology Health Research Methodology Epidemiology Research Methodology Epidemiology Epidemiologic Methods Biomedical Research methods Biometry methods Medizinische Statistik (DE-588)4127563-9 gnd Epidemiologie (DE-588)4015016-1 gnd |
| subject_GND | (DE-588)4127563-9 (DE-588)4015016-1 |
| title | Quantitative methods for health research a practical interactive guide to epidemiology and statistics |
| title_auth | Quantitative methods for health research a practical interactive guide to epidemiology and statistics |
| title_exact_search | Quantitative methods for health research a practical interactive guide to epidemiology and statistics |
| title_exact_search_txtP | Quantitative methods for health research a practical interactive guide to epidemiology and statistics |
| title_full | Quantitative methods for health research a practical interactive guide to epidemiology and statistics Nigel Bruce, Daniel Pope, and Debbi Stanistreet |
| title_fullStr | Quantitative methods for health research a practical interactive guide to epidemiology and statistics Nigel Bruce, Daniel Pope, and Debbi Stanistreet |
| title_full_unstemmed | Quantitative methods for health research a practical interactive guide to epidemiology and statistics Nigel Bruce, Daniel Pope, and Debbi Stanistreet |
| title_short | Quantitative methods for health research |
| title_sort | quantitative methods for health research a practical interactive guide to epidemiology and statistics |
| title_sub | a practical interactive guide to epidemiology and statistics |
| topic | Medizin Medicine Research Methodology Health Research Methodology Epidemiology Research Methodology Epidemiology Epidemiologic Methods Biomedical Research methods Biometry methods Medizinische Statistik (DE-588)4127563-9 gnd Epidemiologie (DE-588)4015016-1 gnd |
| topic_facet | Medizin Medicine Research Methodology Health Research Methodology Epidemiology Research Methodology Epidemiology Epidemiologic Methods Biomedical Research methods Biometry methods Medizinische Statistik Epidemiologie |
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