The aim of the paper is to develop a procedure for an estimate of an analytical form of a hazard function for cancer patients. Although a deterministic approach based on cancer cell population dynamics yields the analytical expression, it depends on several parameters which should be estimated. On the other hand, a kernel estimate is an effective nonparametric method for estimating hazard functions. This method provides the pointwise estimate of the hazard function. Our procedure consists of two steps: in the first step we find the kernel estimate of the hazard function and in the second step the parameters in the deterministic model are obtained by the least squares method. A simulation study with different types of censorship is carried out and the developed procedure is applied to real data.

• MeSH
• biologické modely MeSH
• databáze faktografické MeSH
• karcinom mortalita   patologie   terapie   MeSH
• lidé MeSH
• metoda nejmenších čtverců MeSH
• nádory prsu mortalita   patologie   terapie   MeSH
• nádory mortalita   patologie   terapie   MeSH
• počítačová simulace * MeSH
• pravděpodobnostní funkce MeSH
• proliferace buněk MeSH
• proporcionální rizikové modely * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH