dc.contributor.author | Otieno, Otieno C | |
dc.date.accessioned | 2013-07-30T12:38:03Z | |
dc.date.available | 2013-07-30T12:38:03Z | |
dc.date.issued | 2013-07 | |
dc.identifier.citation | Otieno, C.;July, 2013.Dealing with Non-Proportional Hazards in Survival Analysis | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/52588 | |
dc.description.abstract | For the last few decades,exceptional concentration has been given to the field of survival
analysis for its techniques applied in different areas of research.One of the main
assumptions regarding a number of survival analysis techniques is that of proportional
hazards.If the hazards rates are found to cross,non parametric analyses such
as Cox proportional hazards regression,Kaplan Meier and Log- rank test will either
be rendered scarce or lose power.One way to suffiently analyze survival data with
crossing hazard rate is to obtain inference using the Renyi test statistic and Stratified
Cox Regression Model,interaction model with time dependent covariate. | en |
dc.language.iso | en | en |
dc.publisher | University of Nairobi | en |
dc.title | Dealing With Non-proportional Hazards in Survival Analysis | en |
dc.type | Thesis | en |
local.publisher | College of Humanities and Social Sciences | en |