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BMCBI
2011
13 years 1 months ago
Sequential Interim Analyses of Survival Data in DNA Microarray Experiments
Background: Discovery of biomarkers that are correlated with therapy response and thus with survival is an important goal of medical research on severe diseases, e.g. cancer. Freq...
Andreas Leha, Tim Beißbarth, Klaus Jung
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
13 years 9 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
ACMICEC
2005
ACM
121views ECommerce» more  ACMICEC 2005»
14 years 1 months ago
A dynamic Bayesian analysis of the drivers of Internet firm survival
We study the impact of a set of industry, firm- and e-commerce-related factors on Internet firm survival. Through the use of one age-based and another calendar time-based Bayesian...
Sudipto Banerjee, Robert J. Kauffman, Bin Wang
CSDA
2007
128views more  CSDA 2007»
13 years 7 months ago
Computational methods for case-cohort studies
Computational methods, which can be implemented using standard Cox regression software, are given for fitting “exact” pseudolikehood estimates and robust and asymptotic varia...
Bryan Langholz, Jenny Jiao
IWANN
2009
Springer
14 years 2 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...