Transformations for Parametric Modeling of Censored Data in Survival Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F15%3A00083033" target="_blank" >RIV/00216224:14110/15:00083033 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-11128-5_183" target="_blank" >http://dx.doi.org/10.1007/978-3-319-11128-5_183</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11128-5_183" target="_blank" >10.1007/978-3-319-11128-5_183</a>
Alternative languages
Result language
angličtina
Original language name
Transformations for Parametric Modeling of Censored Data in Survival Analysis
Original language description
Some specific transformation functions are introduced in this paper to transform probability distributions commonly used for parametric modelling in survival analysis in order to make the analysis more flexible and prevent possible overestimation in longer survival times. The developed distributions were used to model the survival functions for two different data sets that contain information about patients suffering from breast cancer and colorectal carcinoma. The results are compared with the standardapproach using Akaike´s information criterion.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFMBE Proceedings
ISBN
9783319111278
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
736-739
Publisher name
Springer
Place of publication
Heidelberg
Event location
Dubrovnik
Event date
Sep 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000349454200183