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Titlebook: Regression Analysis in Medical Research; for Starters and 2nd Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2021Latest edition The Editor(s

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发表于 2025-3-21 18:14:55 | 显示全部楼层 |阅读模式
书目名称Regression Analysis in Medical Research
副标题for Starters and 2nd
编辑Ton J. Cleophas,Aeilko H. Zwinderman
视频video
概述Lacking information of the history, background, and purposes has now been entirely covered.Editorial art work of the first edition has been systematically replaced with original statistical software t
图书封面Titlebook: Regression Analysis in Medical Research; for Starters and 2nd Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2021Latest edition The Editor(s
描述.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 incl
出版日期Textbook 2021Latest edition
关键词regression analysis; non-mathematicians; dependent data; non-parametric statistics; nonlinear regression
版次2
doihttps://doi.org/10.1007/978-3-030-61394-5
isbn_softcover978-3-030-61396-9
isbn_ebook978-3-030-61394-5
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 22:10:07 | 显示全部楼层
Analysis of Variance (Anova),Data with a continuous outcome and a categorical predictor can be analyzed either with multiple linear regression or with one way Anova (analysis of variance). The results and all of the computations are identical. Analysis of variance is just another regression model with intercepts and regression coefficients.
发表于 2025-3-22 02:54:11 | 显示全部楼层
Ton J. Cleophas,Aeilko H. ZwindermanLacking information of the history, background, and purposes has now been entirely covered.Editorial art work of the first edition has been systematically replaced with original statistical software t
发表于 2025-3-22 04:58:05 | 显示全部楼层
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发表于 2025-3-22 11:19:10 | 显示全部楼层
https://doi.org/10.1007/978-3-030-61394-5regression analysis; non-mathematicians; dependent data; non-parametric statistics; nonlinear regression
发表于 2025-3-22 13:22:57 | 显示全部楼层
Confirmative Regressions,ecades modern regression methods have proven to be much more precise. And so it is time, that a book described regression analyses for clinicians. The current edition is the first to do so. Three examples are given of regression analyses as primary analysis from controlled trials.
发表于 2025-3-22 20:27:56 | 显示全部楼层
Dichotomous Regressions Other than Logistic and Cox,negative binomial regressions tend to provide better statistics. Probit regression may be more appropriate with very large and very small percentages of responders. Tetrachoric regressions assess dichotomous analyses of continuous outcomes. And quasi-likelihood regressions are adequate for repeated measures models.
发表于 2025-3-23 00:28:00 | 显示全部楼层
Time to Event Regressions Other than Traditional Cox,umbers of events are often disproportionate with time, or checks are not timely made, or changes are sinusoidally due to seasonal effect. Many more mechanisms may bias exponential event patterns. Examples are given as well as appropriate methods for analyses.
发表于 2025-3-23 04:06:51 | 显示全部楼层
978-3-030-61396-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-23 09:02:06 | 显示全部楼层
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