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Logistic Model Case Study 2: Survival of Titanic Passengers

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

Abstract

This case study demonstrates the development of a binary logistic regression model to describe patterns of survival in passengers on the Titanic, based on passenger age, sex, ticket class, and the number of family members accompanying each passenger. Nonparametric regression is also used. Since many of the passengers had missing ages, multiple imputation is used so that the complete information on the other variables can be efficiently utilized.

Keywords

Primary Biliary Cirrhosis Multiple Imputation Nonparametric Regression Binary Logistic Regression Model Continuous Predictor 
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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