Resumen
A sample of 1200 breast cancer patients with complete follow up from 1978 to 2002 was used to assess the evolution survival of patients over time using several survival estimators: Kaplan and Meier´s, Cox´s proportional hazards regression, multinomial logit regression model, median-quartiles residual life time. Patients were classified into groups according to risk factors and results for the groups were compared through standard ad-hoc tests and confidence bands, obtained using bootstrap re-sampling methods. The analysis of effect of risk factors considered only non metastatic patients since the presence of metastasis overcome all possible factors affecting survival. The results showed that patients at stage three of the disease present a differential result in survival when considering factors such as age at detection and age at first child birth, which are considered also as risk factors.
Idioma original | Inglés |
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Páginas | 1-15 |
Número de páginas | 15 |
Estado | Publicada - 01 dic. 2015 |
Evento | Joint Statistical Meetings 2025 - Seattle, Estados Unidos Duración: 08 ago. 2015 → 13 ago. 2015 https://ww2.amstat.org/meetings/jsm/2015/ |
Conferencia
Conferencia | Joint Statistical Meetings 2025 |
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Título abreviado | JSM2025 |
País/Territorio | Estados Unidos |
Ciudad | Seattle |
Período | 08/08/15 → 13/08/15 |
Dirección de internet |
Palabras clave
- Breast cancer
- Survival estimation
- Residual median lifetime
- Bootstrap