Survival analysis : a new guide for social scientists / Alejandro Quiroz Flores.

Format:

Book

Author/Creator:

Quiroz Flores, Alejandro, 1976- author.

Series:

Cambridge elements. Elements in quantitative and computational methods for the social sciences 2398-4023

Language:

English

Subjects (All):

Event history analysis.

Social sciences--Methodology.

Social sciences.

Physical Description:

1 online resource (75 pages) : digital, PDF file(s).

Place of Publication:

Cambridge : Cambridge University Press, 2022.

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.

Notes:

Title from publisher's bibliographic system (viewed on 07 Apr 2022).

Other Format:

Print version:

ISBN:

9781009053594 (ebook)

Access Restriction:

Restricted for use by site license.