Logistic Model Case Study 2: Survival of Titanic Passengers

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. Titanic passenger data were gathered by many researchers. Primary references are the Encyclopedia Titanica at www.encyclopedia-titanica.org and Eaton and Haas. 169 Titanic survival patterns have been analyzed previously 151, 296, 571 but without incorporation of individual passenger ages. Thomas Cason while a University of Virginia student compiled and interpreted the data from the World Wide Web. One thousand three hundred nine of the passengers are represented in the dataset, which is available from this text’s Web site under the name titanic3. An early analysis of Titanic data may be found in Bron 75.