Informace o publikaci
Kernel Estimation of Conditional Hazard Function for Cancer Data
| Název česky | Jádrové odhady podmíněné rizikové funkce pro rakovinová data |
|---|---|
| Autoři | |
| Rok publikování | 2014 |
| Druh | Článek ve sborníku |
| Konference | Recent Advances in Energy, Environment, Biology and Ecology |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | http://www.google.cz/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&sqi=2&ved=0CDQQFjAB&url=http%3A%2F%2Fwww.wseas.us%2Fbooks%2F2010%2FCambridge%2FEE.pdf&ei=-MbXUoS3AefgygPPvYDABA&usg=AFQjCNHWU0JL2ynkTAX-FLuET2h9wLM7rg&sig2=w7NY0ORsFF3I-zO1oBC1uQ&bvm=b |
| Obor | Aplikovaná statistika, operační výzkum |
| Klíčová slova | Hazard function; kernel; bandwidth; cross-validation method; survival function; censoring |
| Popis | The hazard function is a useful tool in survival analysis and reflects the instantaneous probability that an individual will die within the next time instant. In practice, the hazard function depends on covariates as an age and a gender. The most frequently used method to estimate a conditional hazard function is semiparametric model suggested by D. R. Cox. Assumptions of this model are too restrictive in many cases. In the present paper is proposed an estimator for conditional hazard function as the ratio of kernel estimators for the onditional density and survival function. We illustrate the utility of the proposed method through application to cancer data sets. |