Alternative Estimation Procedures for Event-History Analysis: A Monte Carlo Study

dc.creator	Carroll, Glenn R
dc.creator	Hannan, Michael T
dc.creator	Tuma, Nancy Brandon
dc.creator	Warsavage, Barbara
dc.date.accessioned	2015-08-16T00:45:02Z
dc.date.available	2015-08-16T00:45:02Z
dc.date.issued	2015-08-15
dc.identifier.uri	https://hdl.handle.net/1969.1/154806
dc.description.abstract	The authors compare alternative procedures for estimating parameters of event-history models: ordinary least squares, Kaplan-Meier least squares, maximum likelihood, and partial likelihood. They report results of simulations comparing maximum likelihood and partial likelihood estimators for small samples in terms of several potential sources of error. A related paper is Tuma, Hannan, and Groeneveld (1979).	en
dc.language.iso	en_US
dc.relation.ispartofseries	Technical Report Stanford Sociology;#70
dc.rights	Attribution 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/
dc.subject	event history models	en
dc.title	Alternative Estimation Procedures for Event-History Analysis: A Monte Carlo Study	en
dc.type	Technical Report	en
local.department	Sociology	en

Except where otherwise noted, this item's license is described as Attribution 3.0 United States