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...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Cambridge :
Cambridge University Press
2022.
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| Colección: | CUP ebooks.
Cambridge elements. Elements in quantitative and computational methods for the social sciences |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b46429840*spi |
| Sumario: | 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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| Descripción Física: | 1 recurso electrónico (75 páginas) |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9781009053594 |
