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020 _a3319558943
020 _a3319558951
_q(electronic bk.)
020 _a9783319558943
020 _a9783319558950
_q(electronic bk.)
020 _z9783319558943
_q(print)
040 _aGW5XE
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050 4 _aR853.M48
_b2017 EB
100 1 _aCleophas, Ton J. M.,
_eautor
245 1 0 _aModern meta-analysis :
_breview and update of methodologies
_cTon J. Cleophas, Aeilko H. Zwinderman.
264 1 _aCham, Switzerland
_bSpringer International Publishing
_c2017
300 _a1 recurso en línea (xvi, 314 páginas)
_bilustraciones (algunas a color)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
504 _aIncluye referencias bibliográficas e índice
505 0 _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.-
520 3 _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.
650 7 _aExperimentación humana en medicina
_2embne
_0(OCoLC)fst01017463
_0
_9674241
700 1 _aZwinderman, Aeilko H.
_eautor
_986088
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-55895-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aSpringer_Medicine_2017
998 _b02/2018
_dz
_e-
_zSI
999 _c96009
_d96009
_x1