Appraisal of Several Methods to Model Time to Multiple Events per Subject: Modelling Time to Hospitalizations and Death
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2010
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| _version_ | 1876453592652578816 |
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| author | JAVIER CASTAÑEDA |
| author_facet | JAVIER CASTAÑEDA |
| contents | Appraisal of Several Methods to Model Time to Multiple Events per Subject: Modelling Time to Hospitalizations and Death JAVIER CASTAÑEDA BART GERRITSE Física, Astronomía y Matemáticas Competing risks Marginal models Survival analysis Correlated observations During the disease-recovery process of many diseases, such as in Heart Failure (HF), often more than one type of event plays a role. Some clinical trials use the combined endpoint of death and a secondary event; for instance, HF-related hospitalizations. This is often analyzed with time-to-first-event survival analysis which ignores possible subsequent events, such as several HF-related hospitalizations. Accounting for multiple events provides more detailed information on the disease-control process, and allows a more precise understanding of the prognosis of patients. In this paper we explore and illustrate several modelling strategies to study time to repeated events of disease-related hospitalizations and death per subject. Marginal models are revised in order to account for intra-subject correlation and competing risks. Finally, we recommend a Multi-state model which allows a flexible modelling strategy that incorporates important features in the analysis of HF-related hospitalizations and death, and at the same time extends relevant characteristics of the Andersen & Gill (1982), Wei et al. (1989) and Prentice et al. (1981) models. 2010 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89915370004 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.33 |
| format | Artículo científico |
| id | redalyc_89915370004 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Appraisal of Several Methods to Model Time to Multiple Events per Subject: Modelling Time to Hospitalizations and Death JAVIER CASTAÑEDA Física, Astronomía y Matemáticas Competing risks Marginal models Survival analysis Correlated observations Appraisal of Several Methods to Model Time to Multiple Events per Subject: Modelling Time to Hospitalizations and Death JAVIER CASTAÑEDA BART GERRITSE Física, Astronomía y Matemáticas Competing risks Marginal models Survival analysis Correlated observations During the disease-recovery process of many diseases, such as in Heart Failure (HF), often more than one type of event plays a role. Some clinical trials use the combined endpoint of death and a secondary event; for instance, HF-related hospitalizations. This is often analyzed with time-to-first-event survival analysis which ignores possible subsequent events, such as several HF-related hospitalizations. Accounting for multiple events provides more detailed information on the disease-control process, and allows a more precise understanding of the prognosis of patients. In this paper we explore and illustrate several modelling strategies to study time to repeated events of disease-related hospitalizations and death per subject. Marginal models are revised in order to account for intra-subject correlation and competing risks. Finally, we recommend a Multi-state model which allows a flexible modelling strategy that incorporates important features in the analysis of HF-related hospitalizations and death, and at the same time extends relevant characteristics of the Andersen & Gill (1982), Wei et al. (1989) and Prentice et al. (1981) models. 2010 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89915370004 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.33 |
| title | Appraisal of Several Methods to Model Time to Multiple Events per Subject: Modelling Time to Hospitalizations and Death |
| topic | Física, Astronomía y Matemáticas Competing risks Marginal models Survival analysis Correlated observations |
| url | https://www.redalyc.org/articulo.oa?id=89915370004 |