LEADER 04321nam 22004695 450 001 9910254660003321 005 20200629202543.0 010 $a3-319-55895-1 024 7 $a10.1007/978-3-319-55895-0 035 $a(DE-He213)978-3-319-55895-0 035 $a(MiAaPQ)EBC5595714 035 $a(PPN)201474735 035 $a(CKB)4340000000062183 035 $a(EXLCZ)994340000000062183 100 $a20170502d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModern Meta-Analysis $eReview and Update of Methodologies /$fby Ton J. Cleophas, Aeilko H. Zwinderman 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVI, 314 p. 246 illus., 63 illus. in color.) 311 $a3-319-55894-3 320 $aIncludes bibliographical references and index. 327 $aPreface -- Meta-Analysis in a Nutshell -- Mathematical Fram-ework -- Meta-Analysis and the Scientific Method -- Meta-Analysis and Random Effects Analysis -- Meta-Analysis Software Programs -- Meta-Analysis of Randomized Controlled Trials -- Meta-Analysis of Observational plus Randomized Studies -- Meta-Analysis of Observational Studies -- Meta-Regression -- Meta-Analysis of Diagnostic Studies -- Meta-Meta-Analyses -- Network Meta-Analysis -- Random Intercepts Meta-Analysis -- Probit Regression -- Meta-Analysis with General Loglinear Models -- Meta-Analysis with Variance Components -- Ensembled Correlation Coefficients -- Ensembled Accuracies -- Meta-Analyses with Multivariate Assessments -- Transforming Odds Ratios into Correlation Coefficients -- Meta-Analyses with Direct and Indirect Comparisons -- Contrast Coefficients Meta-Analysis -- Meta-Analysis with Evolutionary Operations.-. 330 $aModern 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. . 606 $aMedicine 606 $aMedicine/Public Health, general$3https://scigraph.springernature.com/ontologies/product-market-codes/H00007 615 0$aMedicine. 615 14$aMedicine/Public Health, general. 676 $a610.72 700 $aCleophas$b Ton J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0472359 702 $aZwinderman$b Aeilko H$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254660003321 996 $aModern Meta-Analysis$92519907 997 $aUNINA