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
โฆ LIBER โฆ
Modelling population-based cancer survival trends by using join point models for grouped survival data
โ Scribed by Binbing Yu; Lan Huang; Ram C. Tiwari; Eric J. Feuer; Karen A. Johnson
- Book ID
- 111038609
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 722 KB
- Volume
- 172
- Category
- Article
- ISSN
- 0964-1998
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Mixture models for cancer survival analy
โ
R. De Angelis; R. Capocaccia; T. Hakulinen; B. Soderman; A. Verdecchia
๐
Article
๐
1999
๐
John Wiley and Sons
๐
English
โ 140 KB
๐ 2 views
A Bayesian approach to mixture cure mode
โ
Binbing Yu; Ram C. Tiwari
๐
Article
๐
2012
๐
John Wiley and Sons
๐
French
โ 144 KB
๐ 3 views
## Abstract As the treatments of cancer progress, a certain number of cancers are curable if diagnosed early. In populationโbased cancer survival studies, cure is said to occur when mortality rate of the cancer patients returns to the same level as that expected for the general cancerโfree populati