𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Infinite mixture-of-experts model for sparse survival regression with application to breast cancer

✍ Scribed by Sudhir Raman; Thomas J Fuchs; Peter J Wild; Edgar Dahl; Joachim M Buhmann; Volker Roth

Book ID
114999499
Publisher
BioMed Central
Year
2010
Tongue
English
Weight
636 KB
Volume
11
Category
Article
ISSN
1471-2105

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Mixture models for cancer survival analy
Mixture models for cancer survival analysis: application to population-based data with covariates
✍ R. De Angelis; R. Capocaccia; T. Hakulinen; B. Soderman; A. Verdecchia πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 140 KB πŸ‘ 2 views

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

Regressive logistic and proportional haz
Regressive logistic and proportional hazards disease models for within-family analyses of measured genotypes, with application to a CYP17 polymorphism and breast cancer
✍ Jisheng S. Cui; Amanda B. Spurdle; Melissa C. Southey; Gillian S. Dite; Deon J. πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 141 KB πŸ‘ 1 views

## Abstract Various statistical methods have been proposed to evaluate associations between measured genetic variants and disease, including some using family designs. For breast cancer and rare variants, we applied a modified segregation analysis method that uses the population cancer incidence an