Systematic Reviews in Health Care
Meta-Analysis in Context
Herausgeber: Egger, Matthias; Altman, Douglas; Davey Smith, George
Systematic Reviews in Health Care
Meta-Analysis in Context
Herausgeber: Egger, Matthias; Altman, Douglas; Davey Smith, George
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The second edition of this best-selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta-analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice.
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The second edition of this best-selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta-analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice.
Produktdetails
- Produktdetails
- Verlag: Wiley
- 2nd Revised edition
- Seitenzahl: 512
- Erscheinungstermin: 5. März 2001
- Englisch
- Abmessung: 240mm x 161mm x 32mm
- Gewicht: 921g
- ISBN-13: 9780727914880
- ISBN-10: 072791488X
- Artikelnr.: 24285817
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Wiley
- 2nd Revised edition
- Seitenzahl: 512
- Erscheinungstermin: 5. März 2001
- Englisch
- Abmessung: 240mm x 161mm x 32mm
- Gewicht: 921g
- ISBN-13: 9780727914880
- ISBN-10: 072791488X
- Artikelnr.: 24285817
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Matthias Egger is professor of epidemiology and public health at the University of Bern in Switzerland, as well as professor of clinical epidemiology at the University of Bristol in the United Kingdom. George Davey-Smith is the editor of Systematic Reviews in Health Care: Meta-Analysis in Context, 2nd Edition, published by Wiley. Douglas G. Altman, Centre for Statistics in Medicine, University of Oxford and EQUATOR Network, Oxford, UK.
Foreword.
Introduction:.
Rationale, potentials and promise of systematic review.
.
Part I: Systematic reviews of controlled trials.
Principles and procedures.
Problems and limitations.
Identifying randomised trials.
Assessing the quality of controlled clinical trials.
Obtaining individual patient data from randomised controlled trials.
Assessing the quality of reports of systematic reviews.
.
Part II: Investigating variability within and between studies.
Going beyond the grand mean.
Why and how sources of heterogeneity should be investigated.
Analysing the relationship between treatment benefit and underlying risk.
Investigating and dealing with publication and other biases.
.
Part III: Systematic review of observational studies.
Systematic reviews of observational studies.
Systematic reviews of prognostic studies.
Systematic reviews of evaluations of diagnostic studies.
.
Part IV: Statistical method and computer software.
Statistical methods of examining heterogeneity and combining results from
several studies.
Choice of effect measure for binary outcomes.
Meta-analysis software.
Meta-analysis in STATA.
.
Part V: Using systematic reviews in practice.
Applying the results of systematic reviews at the bedside.
Numbers needed to treat derived from meta-analysis: pitfalls and cautions.
Using systematic reviews in clinical guidelines development.
Using systematic reviews for evidence based policy making.
Using systematic reviews for economic evaluation.
Using systematic reviews and registers of ongoing trials for scientific and
ethical trial design.
.
Part VI: The Cochrane Collaboration.
The Cochrane Collaboration in the 20th Century.
The Cochrane Collaboration in the 21st Century: ten challenges and one
reason whey they must be met.
.
Part VII: Future challenges.
Unresolved issues and future developments
Introduction:.
Rationale, potentials and promise of systematic review.
.
Part I: Systematic reviews of controlled trials.
Principles and procedures.
Problems and limitations.
Identifying randomised trials.
Assessing the quality of controlled clinical trials.
Obtaining individual patient data from randomised controlled trials.
Assessing the quality of reports of systematic reviews.
.
Part II: Investigating variability within and between studies.
Going beyond the grand mean.
Why and how sources of heterogeneity should be investigated.
Analysing the relationship between treatment benefit and underlying risk.
Investigating and dealing with publication and other biases.
.
Part III: Systematic review of observational studies.
Systematic reviews of observational studies.
Systematic reviews of prognostic studies.
Systematic reviews of evaluations of diagnostic studies.
.
Part IV: Statistical method and computer software.
Statistical methods of examining heterogeneity and combining results from
several studies.
Choice of effect measure for binary outcomes.
Meta-analysis software.
Meta-analysis in STATA.
.
Part V: Using systematic reviews in practice.
Applying the results of systematic reviews at the bedside.
Numbers needed to treat derived from meta-analysis: pitfalls and cautions.
Using systematic reviews in clinical guidelines development.
Using systematic reviews for evidence based policy making.
Using systematic reviews for economic evaluation.
Using systematic reviews and registers of ongoing trials for scientific and
ethical trial design.
.
Part VI: The Cochrane Collaboration.
The Cochrane Collaboration in the 20th Century.
The Cochrane Collaboration in the 21st Century: ten challenges and one
reason whey they must be met.
.
Part VII: Future challenges.
Unresolved issues and future developments
Foreword.
Introduction:.
Rationale, potentials and promise of systematic review.
.
Part I: Systematic reviews of controlled trials.
Principles and procedures.
Problems and limitations.
Identifying randomised trials.
Assessing the quality of controlled clinical trials.
Obtaining individual patient data from randomised controlled trials.
Assessing the quality of reports of systematic reviews.
.
Part II: Investigating variability within and between studies.
Going beyond the grand mean.
Why and how sources of heterogeneity should be investigated.
Analysing the relationship between treatment benefit and underlying risk.
Investigating and dealing with publication and other biases.
.
Part III: Systematic review of observational studies.
Systematic reviews of observational studies.
Systematic reviews of prognostic studies.
Systematic reviews of evaluations of diagnostic studies.
.
Part IV: Statistical method and computer software.
Statistical methods of examining heterogeneity and combining results from
several studies.
Choice of effect measure for binary outcomes.
Meta-analysis software.
Meta-analysis in STATA.
.
Part V: Using systematic reviews in practice.
Applying the results of systematic reviews at the bedside.
Numbers needed to treat derived from meta-analysis: pitfalls and cautions.
Using systematic reviews in clinical guidelines development.
Using systematic reviews for evidence based policy making.
Using systematic reviews for economic evaluation.
Using systematic reviews and registers of ongoing trials for scientific and
ethical trial design.
.
Part VI: The Cochrane Collaboration.
The Cochrane Collaboration in the 20th Century.
The Cochrane Collaboration in the 21st Century: ten challenges and one
reason whey they must be met.
.
Part VII: Future challenges.
Unresolved issues and future developments
Introduction:.
Rationale, potentials and promise of systematic review.
.
Part I: Systematic reviews of controlled trials.
Principles and procedures.
Problems and limitations.
Identifying randomised trials.
Assessing the quality of controlled clinical trials.
Obtaining individual patient data from randomised controlled trials.
Assessing the quality of reports of systematic reviews.
.
Part II: Investigating variability within and between studies.
Going beyond the grand mean.
Why and how sources of heterogeneity should be investigated.
Analysing the relationship between treatment benefit and underlying risk.
Investigating and dealing with publication and other biases.
.
Part III: Systematic review of observational studies.
Systematic reviews of observational studies.
Systematic reviews of prognostic studies.
Systematic reviews of evaluations of diagnostic studies.
.
Part IV: Statistical method and computer software.
Statistical methods of examining heterogeneity and combining results from
several studies.
Choice of effect measure for binary outcomes.
Meta-analysis software.
Meta-analysis in STATA.
.
Part V: Using systematic reviews in practice.
Applying the results of systematic reviews at the bedside.
Numbers needed to treat derived from meta-analysis: pitfalls and cautions.
Using systematic reviews in clinical guidelines development.
Using systematic reviews for evidence based policy making.
Using systematic reviews for economic evaluation.
Using systematic reviews and registers of ongoing trials for scientific and
ethical trial design.
.
Part VI: The Cochrane Collaboration.
The Cochrane Collaboration in the 20th Century.
The Cochrane Collaboration in the 21st Century: ten challenges and one
reason whey they must be met.
.
Part VII: Future challenges.
Unresolved issues and future developments