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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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2022
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| Schlagworte: | |
| Online-Zugang: | BSB01 UBG01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 07 Apr 2022) |
| Beschreibung: | 1 Online-Ressource (75 Seiten) |
| ISBN: | 9781009053594 |
| DOI: | 10.1017/9781009053594 |
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| isbn | 9781009053594 |
| language | English |
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| spelling | Quiroz Flores, Alejandro 1976- (DE-588)1117224341 aut Survival analysis a new guide for social scientists Alejandro Quiroz Flores Cambridge Cambridge University Press 2022 1 Online-Ressource (75 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 07 Apr 2022) 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 Event history analysis Social sciences / Methodology Erscheint auch als Druck-Ausgabe 978-1-00-905450-8 https://doi.org/10.1017/9781009053594 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Quiroz Flores, Alejandro 1976- Survival analysis a new guide for social scientists Event history analysis Social sciences / Methodology |
| title | Survival analysis a new guide for social scientists |
| title_auth | Survival analysis a new guide for social scientists |
| title_exact_search | Survival analysis a new guide for social scientists |
| title_exact_search_txtP | Survival analysis a new guide for social scientists |
| title_full | Survival analysis a new guide for social scientists Alejandro Quiroz Flores |
| title_fullStr | Survival analysis a new guide for social scientists Alejandro Quiroz Flores |
| title_full_unstemmed | Survival analysis a new guide for social scientists Alejandro Quiroz Flores |
| title_short | Survival analysis |
| title_sort | survival analysis a new guide for social scientists |
| title_sub | a new guide for social scientists |
| topic | Event history analysis Social sciences / Methodology |
| topic_facet | Event history analysis Social sciences / Methodology |
| url | https://doi.org/10.1017/9781009053594 |
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