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Obtaining statistical data

Projects / Programmes source: ARIS

Prediction in survival analysis

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Research activity

Code Science Field Subfield
3.08.00  Medical sciences  Public health (occupational safety)   

Code Science Field
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
B680  Biomedical sciences  Public health, epidemiology 
Keywords
survival analysis, prediction, regression models
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (4)
no. Code Name and surname Research area Role Period No. of publications
1.  11373  PhD Dimitar Hristovski  Computer science and informatics  Researcher  1998 - 2001  0 
2.  09085  PhD Katarina Košmelj  Mathematics  Researcher  1998 - 2001  0 
3.  08992  PhD Janez Stare  Public health (occupational safety)  Head  2000 - 2001  0 
4.  05991  PhD Lijana Zaletel-Kragelj  Public health (occupational safety)  Researcher  1998 - 2001  0 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0381  University of Ljubljana, Faculty of Medicine  Ljubljana  1627066  118 
Abstract
We shall consider theoretical and practical problems with prediction in survival analysis where censored observations are the main characteristic of the data. In theoretical part of our research we shall deal with a definition and estimation of an index of prognostiv power for survival regression models, in in the theoretical - practical part we shall be interested in possible advantages or disadvantages of models of relative survival and of using certain methods the were not specifically developed for censored data.
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