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Control of data quality for population-based cancer survival analysis

โœ Scribed by Li, Ruoran; Abela, Louise; Moore, Jonathan; Woods, Laura M.; Nur, Ula; Rachet, Bernard; Allemani, Claudia; Coleman, Michel P.

Book ID
124121225
Publisher
Elsevier
Year
2014
Tongue
English
Weight
436 KB
Volume
38
Category
Article
ISSN
1877-7821

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The interest in estimating the probability of cure has been increasing in cancer survival analysis as the curability of many cancer diseases is becoming a reality. Mixture survival models provide a way of modelling time to death when cure is possible, simultaneously estimating death hazard of fatal