HOROVÁ, Ivanka, Zdeněk POSPÍŠIL and Jiří ZELINKA. Change points detection of a smooth estimate of a hazard function. 2010.
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Basic information
Original name Change points detection of a smooth estimate of a hazard function
Name in Czech Detekce bodů změny vyhlazené rizikové funkce
Authors HOROVÁ, Ivanka (203 Czech Republic, guarantor, belonging to the institution), Zdeněk POSPÍŠIL (203 Czech Republic, belonging to the institution) and Jiří ZELINKA (203 Czech Republic, belonging to the institution).
Edition 2010.
Other information
Original language English
Type of outcome Conference abstract
Field of Study 10103 Statistics and probability
Country of publisher France
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14310/10:00044683
Organization unit Faculty of Science
Keywords (in Czech) riziková funkce; jádrové vzhlazení; nulové body derivací; deterministický model
Keywords in English hazard function; kernel smoothing; zero points of derivative; deterministic model
Tags differential equation, hazard function, kernel smoothing
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Zdeněk Pospíšil, Dr., učo 707. Changed: 29/12/2010 14:23.
Abstract
This contribution extends the procedure introduced in J.Theor.Biol. 258(3) 437-443 (2009) combining parametric and non-parametric estimation of hazard function for cancer patients has been developed. The procedure utilizes kernel smoothing of hazard function to identify parameters of deterministic model. The poster presents methods for estimation of roots of the first and the second derivatives of hazard function and compares the estimates with the roots of the identified parametric form of the hazard function. The mentioned roots indicate time of maximal risk and that of the most rapid risk change. The procedure is applied to the breast cancer and to the leukemia data.
Links
GAP201/10/1032, research and development projectName: Diferenční rovnice a dynamické rovnice na ,,time scales'' III (Acronym: Difrov)
Investor: Czech Science Foundation
LC06024, research and development projectName: Centrum Jaroslava Hájka pro teoretickou a aplikovanou statistiku
Investor: Ministry of Education, Youth and Sports of the CR, Jaroslav Hájek Center for Theoretical and Applied Statistics
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