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Series:   Elements in Quantitative and Computational Methods for the Social Sciences

Survival Analysis

A New Guide for Social Scientists

Published online by Cambridge University Press:  03 May 2022

Alejandro Quiroz Flores
Alejandro Quiroz Flores
Affiliation:
University of Essex

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. 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.
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Keywords

survival analysisevent history modelinghazard analysiseconometricsquantitative social sciencestatistics
Type
Element
Information
Series: Elements in Quantitative and Computational Methods for the Social Sciences
Online ISBN: 9781009053594
Publisher: Cambridge University Press
Print publication: 26 May 2022

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References

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