Regression analysis in medical research : for Starters and 2nd Levelers / Ton J. Cleophas, Aeilko H. Zwinderman.
Cleophas, Ton J., author.; Zwinderman, Aeilko H., author.
2021
QA278.2
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Title Regression analysis in medical research : for Starters and 2nd Levelers / Ton J. Cleophas, Aeilko H. Zwinderman.
Author Cleophas, Ton J., author.
Edition 2nd ed.
ISBN 9783030613945 (electronic bk.)
3030613941 (electronic bk.)
3030613933
9783030613938
DOI https://doi.org/10.1007/978-3-030-61394-5
Published Cham : Springer, 2021.
Language English
Description 1 online resource (xv, 475 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-61394-5 doi
Call Number QA278.2
Dewey Decimal Classification 519.5/36
570.15195
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Added Author Zwinderman, Aeilko H., author.
Available in Other Form Print version: 9783030613938
Print version: 9783030613952
Print version: 9783030613969
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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.

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