Abstract
This case study is taken from Harrell et al. 272 which described a World Health Organization study 439 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.
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Notes
- 1.
SaO 2 was measured but CXR was not done
- 2.
Assumed zero since neither BC nor LP were done.
- 3.
These age intervals were also found to adequately capture most of the interaction effects.
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Harrell, F.E. (2015). Case Study in Ordinal Regression, Data Reduction, and Penalization. In: Regression Modeling Strategies. Springer Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-19425-7_14
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DOI: https://doi.org/10.1007/978-3-319-19425-7_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19424-0
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