Variance Components for Assessing the Magnitude of Random Effects (40 Patients)



If we have reasons to believe that in a study certain patients due to co-mobidity, co-medication and other factors will respond differently from others, then the spread in the data is caused not only by residual effect, but also by some subgroup property, otherwise called some random effect. Variance components analysis is able to assess the magnitudes of random effects as compared to that of the residual error of a study.

Supplementary material

333106_2_En_36_MOESM1_ESM.sav (1 kb)
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© 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

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