Kernel Estimation of Conditional Hazard Function for  Cancer
Data

D 2014

Kernel Estimation of Conditional Hazard Function for Cancer Data

SELINGEROVÁ, Iveta; Ivanka HOROVÁ a Jiří ZELINKA

Základní údaje

Originální název

Kernel Estimation of Conditional Hazard Function for Cancer Data

Název česky

Jádrové odhady podmíněné rizikové funkce pro rakovinová data

Autoři

SELINGEROVÁ, Iveta; Ivanka HOROVÁ a Jiří ZELINKA

Vydání

1. vyd. Tenerife, Španělsko, Recent Advances in Energy, Environment, Biology and Ecology, od s. 33-39, 7 s. 2014

Nakladatel

WSEAS Press

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10103 Statistics and probability

Stát vydavatele

Španělsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/14:00074903

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-960-474-358-2

Klíčová slova anglicky

Hazard function; kernel; bandwidth; cross-validation method; survival function; censoring

Změněno: 27. 4. 2015 14:22, Ing. Andrea Mikešková

Anotace

V originále

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.

Citovat

SELINGEROVÁ, Iveta; Ivanka HOROVÁ a Jiří ZELINKA. Kernel Estimation of Conditional Hazard Function for Cancer Data. In Vincenzo Niola. Recent Advances in Energy, Environment, Biology and Ecology. 1. vyd. Tenerife, Španělsko: WSEAS Press, 2014, s. 33-39. ISBN 978-960-474-358-2.

@inproceedings{1159447,
   author = {Selingerová, Iveta and Horová, Ivanka and Zelinka, Jiří},
   address = {Tenerife, Španělsko},
   booktitle = {Recent Advances in Energy, Environment, Biology and Ecology},
   edition = {1.},
   editor = {Vincenzo Niola},
   keywords = {Hazard function; kernel; bandwidth; cross-validation method; survival function; censoring},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Tenerife, Španělsko},
   isbn = {978-960-474-358-2},
   pages = {33-39},
   publisher = {WSEAS Press},
   title = {Kernel Estimation of Conditional Hazard Function for Cancer Data},
   url = {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},
   year = {2014}
}

TY  - CONF
ID  - 1159447
AU  - Selingerová, Iveta - Horová, Ivanka - Zelinka, Jiří
PY  - 2014
TI  - Kernel Estimation of Conditional Hazard Function for Cancer Data
PB  - WSEAS Press
CY  - Tenerife, Španělsko
SN  - 9789604743582
KW  - Hazard function
KW  - kernel
KW  - bandwidth
KW  - cross-validation method
KW  - survival function
KW  - censoring
UR  - 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
L2  - 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
N2  - 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.
ER  -

SELINGEROVÁ, Iveta; Ivanka HOROVÁ a Jiří ZELINKA. Kernel Estimation of Conditional Hazard Function for Cancer Data. In Vincenzo Niola. \textit{Recent Advances in Energy, Environment, Biology and Ecology}. 1. vyd. Tenerife, Španělsko: WSEAS Press, 2014, s.~33-39. ISBN~978-960-474-358-2.

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