Transformations for Parametric Modeling of Censored Data in Survival Analysis

Investor logo

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Medicine. Official publication website can be found on muni.cz.
Authors

HOLČÍK Jiří OPRŠALOVÁ Kateřina

Year of publication 2015
Type Article in Proceedings
Conference IFMBE Proceedings
MU Faculty or unit

Faculty of Medicine

Citation
Doi http://dx.doi.org/10.1007/978-3-319-11128-5_183
Field Applied statistics, operation research
Keywords parametric methods; survival analysis; transformation functions; transformed Weibull distribution
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 standard approach using Akaike´s information criterion.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.