Evaluation of risk factors in survival of breast cancer patients

Sandra Ramirez , Luis Cid, Marcela Valdés, Jose Steinberg Montes

Producción: Contribución a una conferenciaPaperrevisión exhaustiva

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 originalInglés
Páginas1-15
Número de páginas15
EstadoPublicada - 01 dic. 2015
EventoJoint Statistical Meetings 2025 - Seattle, Estados Unidos
Duración: 08 ago. 201513 ago. 2015
https://ww2.amstat.org/meetings/jsm/2015/

Conferencia

ConferenciaJoint Statistical Meetings 2025
Título abreviadoJSM2025
País/TerritorioEstados Unidos
CiudadSeattle
Período08/08/1513/08/15
Dirección de internet

Palabras clave

  • Breast cancer
  • Survival estimation
  • Residual median lifetime
  • Bootstrap

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