國立虎尾科技大學 |

Regression Analysis in Medical Research = for Starters and 2nd Levelers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Regression Analysis in Medical Research/ by Ton J. Cleophas, Aeilko H. Zwinderman.
Reminder of title:	for Starters and 2nd Levelers /
Author:	Cleophas, Ton J.
other author:	Zwinderman, Aeilko H.
Description:	XV, 475 p. 482 illus., 72 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biostatistics. -
Online resource:	https://doi.org/10.1007/978-3-030-61394-5
ISBN:	9783030613945

Regression Analysis in Medical Research = for Starters and 2nd Levelers /
Cleophas, Ton J.

Regression Analysis in Medical Researchfor Starters and 2nd Levelers /[electronic resource] :by Ton J. Cleophas, Aeilko H. Zwinderman. - 2nd ed. 2021. - XV, 475 p. 482 illus., 72 illus. in color.online resource.

Preface -- 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. .

Regression 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. .

ISBN: 9783030613945

Standard No.: 10.1007/978-3-030-61394-5doiSubjects--Topical Terms:

783654
Biostatistics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

Regression Analysis in Medical Research = for Starters and 2nd Levelers /
LDR:03705nam a22003975i 4500 001 1046347
003 DE-He213
005 20210818100741.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030613945 $9 978-3-030-61394-5
024 7 $a 10.1007/978-3-030-61394-5 $2 doi
035 $a 978-3-030-61394-5
050 4 $a QH323.5
072 7 $a PSA $2 bicssc
072 7 $a SCI086000 $2 bisacsh
072 7 $a PSA $2 thema
082 0 4 $a 570.15195 $2 23
100 1 $a Cleophas, Ton J. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 785606
245 1 0 $a Regression Analysis in Medical Research $h [electronic resource] : $b for Starters and 2nd Levelers / $c by Ton J. Cleophas, Aeilko H. Zwinderman.
250 $a 2nd ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XV, 475 p. 482 illus., 72 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Preface -- 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. .
520 $a Regression 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. .
650 0 $a Biostatistics. $3 783654
650 0 $a Medicine. $3 644133
650 2 4 $a Medicine/Public Health, general. $3 668810
700 1 $a Zwinderman, Aeilko H. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 785607
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030613938
776 0 8 $i Printed edition: $z 9783030613952
776 0 8 $i Printed edition: $z 9783030613969
856 4 0 $u https://doi.org/10.1007/978-3-030-61394-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)