Partial Partial Likelihood
2008 (English)In: Communications in Statistics: Simulation and Computation, ISSN 0361-0918, Vol. 37, no 4, 679-686 p.Article in journal (Refereed) Published
The maximum likelihood and maximum partial likelihood
approaches to the proportional hazards model are unified. The purpose is to give a general approach to the analysis of the proportional hazards model, whether the baseline distribution is absolutely continuous, discrete, or a mixture. The advantage is that heavily tied data will be analyzed with a discrete time model, while data with no ties is analyzed with ordinary Cox regression. Data sets in between are treated by a compromise between the discrete time model and Efron's approach to tied data in survival analysis, and the transitions between modes are automatic. A simulation study is conducted comparing the proposed approach to standard methods of handling ties. A recent suggestion, that revives Breslow's approach to tied data, is finally discussed.
Place, publisher, year, edition, pages
2008. Vol. 37, no 4, 679-686 p.
Breslow's method, Cox regression, Efron's method, partial likelihood, profile likelihood, survival analysis, tied data
Probability Theory and Statistics Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:umu:diva-9671DOI: doi:10.1080/03610910701884021OAI: oai:DiVA.org:umu-9671DiVA: diva2:149342