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      Regression Analysis in Medical Research: for Starters and 2nd Levelers

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      Firm sale: non returnable item
      SKU 9783030613969 Categories ,
      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.

      Regression analysis ...

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      Description

      Product ID:9783030613969
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Regression Analysis in Medical Research
      Subtitle:for Starters and 2nd Levelers
      Authors:Author: Aeilko H. Zwinderman, Ton J. Cleophas
      Page Count:475
      Subjects:Medical research, Medical research, Real analysis, real variables, Real analysis, real variables
      Description: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.

      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.



      Imprint Name:Springer Nature Switzerland AG
      Publisher Name:Springer Nature Switzerland AG
      Country of Publication:GB
      Publishing Date:2022-03-03

      Additional information

      Weight726 g
      Dimensions234 × 154 × 29 mm