000 04193cam a2200409 i 4500
999 _c33685
_d33685
001 1720011
003 TH-BaNU
005 20200303092001.0
008 170225s2017 sz a b 001 0 eng d
010 _a 2017935817
020 _a9783319558943
_q(hbk : alk. paper)
020 _a3319558943
_q(hbk : alk. paper)
020 _z9783319558950
_q(electronic bk.)
020 _z3319558951
_q(electronic bk.)
024 8 _a99973812862
035 _a(OCoLC)973920095
_z(OCoLC)973324537
_z(OCoLC)973384122
_z(OCoLC)973527215
_z(OCoLC)973772817
_z(OCoLC)973809031
_z(OCoLC)973904582
040 _aBTCTA
_beng
_erda
_cBTCTA
_dYDX
_dBDX
_dUSU
_dOCLCO
_dSTF
_dOCLCO
_dUCW
_dOCLCO
_dOHX
041 0 9 _aeng
042 _apcc
050 0 4 _aR853
_bM48 2017
100 1 _aCleophas, Ton J. M.,
_eauthor.
245 1 0 _aModern meta-analysis :
_breview and update of methodologies /
_cTon J. Cleophas, Aeilko H. Zwinderman.
264 1 _aCham :
_bSpringer,
_c2017.
300 _axvi, 314 pages :
_billustrations (some color) ;
_c25 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index (pages 309-314).
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 _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 1 2 _aMeta-Analysis as Topic
_0https://id.nlm.nih.gov/mesh/D015201
700 1 _aZwinderman, Aeilko H.,
_eauthor.
850 _aKCNL
942 _2nlm
_cGB
998 _cnuch