

The authors are well-qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015), and Professor Cleophas is past-president of the American College of Angiology (2000-2002).
Meer over de auteursModern Meta-Analysis
Review and Update of Methodologies
Gebonden Engels 2017 1e druk 9783319558943Samenvatting
Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research.
The authors have published over twenty innovative meta-analyses from the turn of the century till now. This edition will review the current state of the art, and will use for that purpose the methodological aspects of the authors' own publications, in addition to other relevant methodological issues from the literature.Are there alternative works in the field? Yes, there are, particularly in the field of psychology. Psychologists have invented meta-analyses in 1970, and have continuously updated methodologies.
Although very interesting, their work, just like the whole discipline of psychology, is rather explorative in nature, and so is their focus to meta-analysis. Then, there is the field of epidemiologists. Many of them are from the school of angry young men, who publish shocking news all the time, and JAMA and other publishers are happy to publish it.
The reality is, of course, that things are usually not as bad as they seem. Finally, some textbooks, written by professional statisticians, tend to use software programs with miserable menu programs and requiring lots of syntax to be learnt. This is prohibitive to clinical and other health professionals.
The current edition is the first textbook in the field of meta-analysis entirely written by two clinical scientists, and it consists of many data examples and step by step analyses, mostly from the authors' own clinical research.
Trefwoorden
meta-analyse statistiek onderzoek wetenschappelijke methode data-analyse effect size random effects model evidence-based medicine heterogeniteit randomized controlled trials gezondheidszorg klinisch onderzoek observationele studies meta-regressie network meta-analyse diagnostische studies odds ratio multivariate analyse correlatiecoëfficiënten variantie-componenten probit regressie loglineaire modellen big data contrastcoëfficiënten evolutionary operations (EVOPs) accuraatheidsmetingen
Trefwoorden
Specificaties
Lezersrecensies
Over Aeilko Zwinderman
Inhoudsopgave
U kunt van deze inhoudsopgave een PDF downloaden
Mathematical Framework Pages 23-41
Meta-analysis and the Scientific Method Pages 43-50
Meta-analysis and Random Effect Analysis Pages 51-62
Meta-analysis with Statistical Software Pages 63-77
Meta-analyses of Randomized Controlled Trials Pages 79-91
Meta-analysis of Observational Plus Randomized Studies Pages 93-100
Meta-analysis of Observational Studies Pages 101-114
Meta-regression Pages 115-126
Meta-analysis of Diagnostic Studies Pages 127-134
Meta-Meta-analysis Pages 135-143
Network Meta-analysis Pages 145-155
Random Intercepts Meta-analysis Pages 157-165
Probit Meta-regression Pages 167-175
Meta-analysis with General Loglinear Models Pages 177-183
Meta-analysis with Variance Components Pages 185-193
Ensembled Correlation Coefficients Pages 195-204
Ensembled Accuracies Pages 205-216
Multivariate Meta-analysis Pages 217-231
Transforming Odds Ratios into Correlation Coefficients Pages 233-242
Meta-analyses with Direct and Indirect Comparisons Pages 243-248
Contrast Coefficients Meta-analysis Pages 249-259
Meta-analysis with Evolutionary Operations (EVOPs) Pages 261-267
Meta-analysis with Heterogeneity as Null-Hypothesis Pages 269-277
Meta-analytic Thinking and Other Spin-Offs of Meta-analysis Pages 279-298
Novel Developments Pages 299-308
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