Survival Analysis: Age and Sex Effects

This lecture delves into survival analysis using the example of the Donna party, a group of settlers in 1846. The instructor explains the impact of age and sex on survival probability, demonstrating how to fit a model and interpret the results. The lecture also covers the challenges of logistic regression, including issues like separation and maximum likelihood estimation. Additionally, the instructor discusses the contingency table model in medical statistics, highlighting the comparison of success probabilities between treated and untreated groups.