Bootstrap test of hypothesis for the multi-state models in survival analysis |
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Authors: | Prabhanjan N. Tattar |
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Affiliation: | 1. Dell International Services India Pvt. Ltd., Bangalore, Karnataka, Indiaprabhanjannt@gmail.com |
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Abstract: | AbstractIn 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):216–230.[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. |
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Keywords: | Aalen–Johansen estimator Exchangeable bootstrap weights Health related quality of life Multi-state model Non homogeneous Markov process. |
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