The dependence between survival times and covariates is described e.g. by proportional hazard models. We consider partly parametric Cox models and discuss here the estimation of interesting parameters. We represent the ma- ximum likelihood approach and extend the results of Huang (1999) from linear to nonlinear parameters. Then we investigate the least squares esti- mation and formulate conditions for the a.s. boundedness and consistency of these estimators.
Identifer | oai:union.ndltd.org:Potsdam/oai:kobv.de-opus-ubp:5150 |
Date | January 2003 |
Creators | Läuter, Henning |
Publisher | Universität Potsdam, Mathematisch-Naturwissenschaftliche Fakultät. Institut für Mathematik |
Source Sets | Potsdam University |
Language | English |
Detected Language | English |
Type | Preprint |
Format | application/pdf |
Rights | http://opus.kobv.de/ubp/doku/urheberrecht.php |
Page generated in 0.0098 seconds