Advertisement

Various Methods for Analyzing Predictor Categories (60 and 30 Patients)

Chapter
  • 964 Downloads

Abstract

Categories unlike continuous data need not have stepping functions. In order to apply regression analysis for their analysis we need to recode them into multiple binary (dummy) variables. Particularly, if Gaussian distributions in the outcome are uncertain, automatic non-parametric testing is an adequate and very convenient modern alternative. Examples are given.

Supplementary material

333106_2_En_29_MOESM1_ESM.sav (2 kb)
categoriesaspredictor (SAV 2 kb)
333106_2_En_29_MOESM2_ESM.sav (2 kb)
categoriesaspredictor2 (SAV 2 kb)
333106_2_En_29_MOESM3_ESM.zip (1 kb)
exportcategoriesaspredictor (XML 3 kb)

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

Personalised recommendations