Publication details

Hazard function for cancer patients and cancer cell dynamics

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Year of publication 2009
Type Article in Periodical
Magazine / Source Journal of Theoretical Biology
MU Faculty or unit

Faculty of Science

Field Applied statistics, operation research
Keywords Random censorship model; Hazard function; Dynamic model; Kernel estimate
Description 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.
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