Case Study in Ordinal Regression, Data Reduction, and Penalization

  • Frank E. HarrellJr.
Part of the Springer Series in Statistics book series (SSS)

Abstract

This case study is taken from Harrell et al.188 which described a World Health Organization study303 in which vital signs and a large number of clinical signs and symptoms were used to develop a predictive model for an ordinal response. This response consists of laboratory assessments of diagnosis and severity of illness related to pneumonia, meningitis, and sepsis. Much of the modeling strategy given in Chapter 4 was used to develop the model, with additional emphasis on penalized maximum likelihood estimation (Section 9.10). The following laboratory data are used in the response: cerebrospinal fluid (CSF) culture from a lumbar puncture (LP), blood culture (BC), arterial oxygen saturation (SaO 2, a measure of lung dysfunction), and chest X-ray (CXR). The sample consisted of 4552 infants aged 90 days or less.

Keywords

Ordinal Regression Ordinal Response Sign Combination Cluster Score Ordinal Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Frank E. HarrellJr.
    • 1
  1. 1.Department of BiostatisticsVanderbilt University School of MedicineNashvilleUSA

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