Abstract
This paper deals with some new forms of probability distributions that can be used for parametric survival analysis. A special transformation is introduced to transform standard distributions to more flexible ones that allow us to model bathtub hazard functions and prevent inaccuracies in estimates of survival and hazard functions in longer survival times. Some commonly used distributions are transformed to the new forms. Basic characteristics of these transformed distributions are described in details. The standard distributions and the new ones are used to model the survival function of the patients suffering from breast cancer. The results are compared according to Akaike’s information criterion and examples of the use of the new derived distributions are presented, as well.KeywordsParametric methodsSurvival analysisTransformed distributions
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
