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Logit Loglinear and Hierarchical Loglinear Modeling for Outcome Categories (445 Patients)

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Chapter
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Abstract

Multinomial regression is adequate for identifying the main predictors of certain outcome categories, like different levels of injury or quality of life (QOL) (see also Chap.  28). An alternative approach is logit loglinear modeling. The latter method does not use continuous predictors on a case by case basis, but rather the weighted means of these predictors. This approach may allow for relevant additional conclusions from your data.

Supplementary material

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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