Im Rahmen der Meta-Analyse wird versucht, die in klinischen Versuchen gesammelten Daten zu kombinieren, um Schlußfolgerungen über die Wirksamkeit einer Behandlung abzuleiten. Das Thema ist daher gleichermaßen relevant für Medizin und pharmazeutische Industrie. Einschlägige methodische Ansätze werden kritisch diskutiert und miteinander verglichen. Nützlich sind die ausführlichen Hinweise auf weiterführende Literatur zu Spezialthemen. (10/00)
Im Rahmen der Meta-Analyse wird versucht, die in klinischen Versuchen gesammelten Daten zu kombinieren, um Schlußfolgerungen über die Wirksamkeit einer Behandlung abzuleiten. Das Thema ist daher gleichermaßen relevant für Medizin und pharmazeutische Industrie. Einschlägige methodische Ansätze werden kritisch diskutiert und miteinander verglichen. Nützlich sind die ausführlichen Hinweise auf weiterführende Literatur zu Spezialthemen. (10/00)
Alex Sutton has published extensively on meta-analysis methodology generally, and on publication bias specifically in recent years, including a major systematic review on the topic of the methodology that has been developed for meta-analysis. He currently has an active interest in the area of partially reported study information, which is currently under-researched. Dr. Sutton is co-author of a textbook on metaanalysis (Methods for Meta Analysis in Medical Research), which was published by Wiley in 2000.
Inhaltsangabe
PART A: META ANALYSIS METHODOLOGY: THE BASICS Introduction: Meta analysis: Its Development and Uses Defining Outcome Measures used for Combining via Meta analysis Random Effects Models for Combining Study Estimates Exploring Between Study Heterogeneity Publication Bias Study Quality Sensitivity Analysis Reporting the Results of a Meta analysis Fixed Effects Methods for Combining Study Estimates PART B: ADVANCED AND SPECIALIZED META ANALYSIS TOPICS Bayesian Methods in Meta analysis Meta Regression Meta analysis of Different Types of Data Incorporating Study Quality into a Meta analysis Meta analysis of Multiple and Correlated Outcome Measures Meta analysis of Epidemiological and other Observational Studies Generalised Synthesis of Evidence Combining Different Sources of Evidence Meta analysis of Survival Data Cumulative Meta analysis Miscellaneous and Developing Areas of Applications in Meta Analysis Appendix I: Software Used for the Examples in this Book
PART A: META ANALYSIS METHODOLOGY: THE BASICS Introduction: Meta analysis: Its Development and Uses Defining Outcome Measures used for Combining via Meta analysis Random Effects Models for Combining Study Estimates Exploring Between Study Heterogeneity Publication Bias Study Quality Sensitivity Analysis Reporting the Results of a Meta analysis Fixed Effects Methods for Combining Study Estimates PART B: ADVANCED AND SPECIALIZED META ANALYSIS TOPICS Bayesian Methods in Meta analysis Meta Regression Meta analysis of Different Types of Data Incorporating Study Quality into a Meta analysis Meta analysis of Multiple and Correlated Outcome Measures Meta analysis of Epidemiological and other Observational Studies Generalised Synthesis of Evidence Combining Different Sources of Evidence Meta analysis of Survival Data Cumulative Meta analysis Miscellaneous and Developing Areas of Applications in Meta Analysis Appendix I: Software Used for the Examples in this Book
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