Flexible regression models for dynamic prediction of survival in elderly in presence of cancer or other chronic diseases.
We consider degradation and failure time models with multiple failure modes adapted for the statistical analysis of survival in the elderly in presence of chronic diseases such as cancer, but also other conditions like dementia, Alzheimer, diabetes, etc... These models can be applied in gerontology, general medicine, biology and demography for the analysis of longevity and survival of highly complex biological systems as any human is.
Epidemiology for Cancer Prevention, INSERM U593, IFR-99, Victor Segalen Bordeaux 2 University, Bordeaux, France.
A J
AJ
Sasco
M S
MS
Nikulin
D002908:Chronic Disease / Q000401:mortality*; D006801:Humans; D008136:Longevity; D015233:Models, Statistical; D009369:Neoplasms / Q000401:mortality*; D011379:Prognosis; D012044:Regression Analysis; D016019:Survival Analysis