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Bootstrap test of hypothesis for the multi-state models in survival analysis
Authors:Prabhanjan N. Tattar
Affiliation:1. Dell International Services India Pvt. Ltd., Bangalore, Karnataka, Indiaprabhanjannt@gmail.com
Abstract:Abstract

In the present paper we develop bootstrap tests of hypothesis, based on simulation, for the transition probability matrix arising in the context of a multi-state model. The bootstrap test statistic is based on the paper of Tattar and Vaman (2008 Tattar, P. N., Vaman, H. J. (2008). Testing transition probability matrix of a multi-state model with censored data. Lifetime Data Anal. 14(2):216230.[Crossref], [PubMed], [Web of Science ®] [Google Scholar]), which develops a statistic for the testing problems concerning the transition probability matrix of the non homogeneous Markov process.
Keywords:Aalen–Johansen estimator  Exchangeable bootstrap weights  Health related quality of life  Multi-state model  Non homogeneous Markov process.
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