Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18371
Title: Cox-McFadden Partial and Marginal Likelihoods for the Proportional Hazard Model with Random Effects
Keywords: C41
C14
ddc:330
proportional hazard
random effects
partial likelihood
GEV class
Issue Date: 16-Oct-2013
Publisher: Deutsches Institut für Wirtschaftsforschung (DIW) Berlin
Description: In survival analysis, Cox?s name is associated with the partial likelihood technique that allows consistent estimation of proportional hazard scale parameters without specifying a duration dependence baseline. In discrete choice analysis, McFadden?s name is associated with the generalized extreme-value (GEV) class of logistic choice models that relax the independence of irrelevant alternatives assumption. This paper shows that the mixed class of proportional hazard specifications allowing consistent estimation of scale and mixing parameters using partial likelihood is isomorphic to the GEV class. Independent censoring is allowed and I discuss approximations to the partial likelihood in the presence of ties. Finally, the partial likelihood score vector can be used to construct log-rank tests that do not require the independence of observations involved.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/18371
Other Identifiers: http://hdl.handle.net/10419/18371
ppn:504313525
Appears in Collections:EconStor

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.