Survival Analysis - A New Guide for Social Scientists

Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guideline to new techniques and models in survival analysis, particularly in three areas: non-proportional covariate effects, competing risks, and multi-state models. It also revisits models for repeated events. The Element promotes multi-state models as a unified framework for survival analysis and highlights the role of general transition probabilities as key quantities of interest that complement traditional hazard analysis. These quantities focus on the long term probabilities that units will occupy particular states conditional on their current state, and they are central in the design and implementation of policy interventions.

List of contents

1. Introduction; 2. Non-proportional Covariates; 3. Repeated Events; 4. Competing Risks; 5. Multi-state Models; 6. Conclusion.

Summary

Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guideline to new techniques and models in survival analysis, particularly in three areas: non-proportional covariate effects, competing risks, and multi-state models.

Product details

• Authors: Alejandro Quiroz Flores, Alejandro (University of Essex) Quiroz Flores
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2022
• EAN: 9781009054508
• ISBN: 978-1-0-0905450-8
• No. of pages: 75
• Series: Elements in Quantitative and Computational Methods for the Social Sciences
• Subjects: Social sciences, law, business > Political science > Political science and political education; POLITICAL SCIENCE / History & Theory, Political science & theory, Political science and theory