gen-define-survival-analysis-of-careers-and-give-one-short-worke-08de

Define survival analysis of careers and give one short worked example.

# Survival Analysis of Careers ## Definition **Survival analysis of careers** is a statistical method that examines the duration until a specific career-related event occurs (e.g., job termination, promotion, career change, or retirement). It analyzes: - How long individuals "survive" in a particular state (job, position, company) - What factors influence the timing of transitions - The probability of experiencing an event over time Key features: - Handles **censored data** (e.g., employees still working when study ends) - Uses techniques like Kaplan-Meier curves, Cox proportional hazards models - Provides hazard rates and median survival times --- ## Worked Example **Research Question:** What is the probability of new hires surviving their first year at a tech company? **Data:** 10 employees hired on Jan 1st - Employees who left (with months until departure): 3, 5, 7, 11 - Employees still employed at 12 months: 6 (censored) **Kaplan-Meier Survival Estimates:** | Time (months) | Events | At Risk | Survival Probability | |---------------|--------|---------|---------------------| | 0 | 0 | 10 | 1.00 (100%) | | 3 | 1 | 10 | 0.90 (90%) | | 5 | 1 | 9 | 0.80 (80%) | | 7 | 1 | 8 | 0.70 (70%) | | 11 | 1 | 7 | 0.60 (60%) | **Interpretation:** The probability of a new hire surviving their first year is **60%**, with most departures occurring in the first 7 months.