Logistic Model Case Study 2: Survival of Titanic Passengers
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.
KeywordsPrimary Biliary Cirrhosis Multiple Imputation Nonparametric Regression Binary Logistic Regression Model Continuous Predictor
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