LEADER 03678nam 2200469 450 001 996464414203316 005 20211008142947.0 010 $a3-030-61394-1 024 7 $a10.1007/978-3-030-61394-5 035 $a(CKB)4100000011781593 035 $a(DE-He213)978-3-030-61394-5 035 $a(MiAaPQ)EBC6512312 035 $a(Au-PeEL)EBL6512312 035 $a(OCoLC)1241066381 035 $a(PPN)254725155 035 $a(EXLCZ)994100000011781593 100 $a20211008d2018 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRegression analysis in medical research $efor starters and 2nd levelers /$fTon J. Cleophas, Aeilko H. Zwinderman 205 $a2nd ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2018] 210 4$dİ2018 215 $a1 online resource (XV, 475 p. 482 illus., 72 illus. in color.) 311 $a3-030-61393-3 327 $aPreface -- Continuous Outcome Regressions -- Dichotomous Outcome Regressions -- Confirmative Regressions -- Dichotomous Regressions Other than Logistic and Cox -- Polytomous Outcome Regressions -- Time to Event Regressions other than Traditional Cox -- Analysis of Variance (ANOVA) -- Repeated Outcomes Regression Methods -- Methodologies for Better Fit of Categorical Predictors -- Laplace Regressions, Multi- instead of Mono-Exponential Models -- Regressions For Making Extrapolations. -- Standardized Regression Coefficients -- Multivariate Analysis of Variance and Canonical Regression -- More on Poisson Regressions -- Regression Trend Testing -- Optimal Scaling and Automatic Linear Regression -- Spline Regressions -- More on Nonlinear Regressions -- Special Forms of Continuous Outcome Regressions -- Regressions for Quantitative Diagnostic Testing -- Regressions, a Panacee or at Least a Widespread Help for Data Analyses -- Regression Trees -- Regressions with Latent Variables -- Partial Correlations -- Functional Data Analysis Basis -- Functional Data Analysis Advanced -- Quantile Regression -- Index. . 330 $aRegression analysis of cause effect relationships is increasingly the core of medical and health research. This work is a 2nd edition of a 2017 pretty complete textbook and tutorial for students as well as recollection / update bench and help desk for professionals. It came to the authors' attention, that information of history, background, and purposes, of the regression methods addressed were scanty. Lacking information about all of that has now been entirely covered. The editorial art work of the first edition, however pretty, was less appreciated by some readerships, than were the original output sheets from the statistical programs as used. Therefore, the editorial art work has now been systematically replaced with original statistical software tables and graphs for the benefit of an improved usage and understanding of the methods. In the past few years, professionals have been flooded with big data. The Covid-19 pandemic gave cause for statistical software companies to foster novel analytic programs better accounting outliers and skewness. Novel fields of regression analysis adequate for such data, like sparse canonical regressions and quantile regressions, have been included. . 606 $aBiometry 615 0$aBiometry. 676 $a610.727 700 $aCleophas$b Ton J. M.$0850054 702 $aZwinderman$b Aeilko H. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464414203316 996 $aRegression analysis in medical research$91898215 997 $aUNISA