Use of cure fraction model for the survival analysis of uterine cancer patients

Noori Akhtar-Danesh (), Alice Lytwyn and Laurie Elit
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Noori Akhtar-Danesh: McMaster University
Alice Lytwyn: McMaster University
Laurie Elit: McMaster University

CHI11 Stata Conference from Stata Users Group

Abstract: Objectives: In population-based cancer studies a cure fraction model classifies patients into those who survive the cancer and those who encounter excess mortality risk compared to the general population [1]. In this presentation we report the proportion cured and the relative survival pattern for patients diagnosed with uterine cancer in Canada over the period of 1992-2005. Methods: We used a non-mixture cure fraction model to estimate the cure fraction rate and the relative survival among “uncured†patients [1]. Then, we predicted the cure fraction rate and median survival for each age group based on the year of diagnosis. Results: Relative survival and cure fraction rate decreased with age but increased gradually over time. Relative survivals for Eastern Canada and Ontario were lower compared to the other regions. The same applies to the comparison between cure fraction rates between the geographical regions. Conclusion: This is the first study using cure fraction model for analysis of uterine cancer. Although there are some limitations attached to this model, it is flexible enough to be used with different parametric distributions and to include different link functions for relative survival analysis. [1] Lambert PC. Modeling of the cure fraction in survival studies. Stata Journal 2007;7:1-25.

Date: 2011-07-20
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