A smooth test of goodness-of-fit for the baseline hazard function in recurrent event models
| dc.creator | Odhiambo, John W. | |
| dc.creator | Odhiambo, Collins | |
| dc.creator | Omolo, Bernard | |
| dc.date | 08/15/2014 | |
| dc.date | Fri, 15 Aug 2014 | |
| dc.date | Fri, 15 Aug 2014 16:47:10 | |
| dc.date | Fri, 15 Aug 2014 16:47:10 | |
| dc.date.accessioned | 2015-03-18T11:29:15Z | |
| dc.date.available | 2015-03-18T11:29:15Z | |
| dc.description | Conference paper | |
| dc.description | In this paper, we formulate a smooth test of goodness-of-fit for a simple hypothesis about the baseline hazard function in recurrent-event models. The formulation is an extension of Neyman' s goodness-of-fit approach, whose score tests are obtained by embedding the null hypothesis in a larger class of hazard rate functions. Since the application is in recurrent event models , the data is dynamic.A useful feature about this test is the parametric approach that makes inference about the hazard function more efficient. To examine the finite-sample properties of this test, we used simulated data . For validation, we applied the test to a real-life recurrent event data. Results show that the test possesses better power over wide range of alternatives, when compared with similar tests of the chi-square type in the literature. | |
| dc.description.abstract | In this paper, we formulate a smooth test of goodness-of-fit for a simple hypothesis about the baseline hazard function in recurrent-event models. The formulation is an extension of Neyman' s goodness-of-fit approach, whose score tests are obtained by embedding the null hypothesis in a larger class of hazard rate functions. Since the application is in recurrent event models , the data is dynamic.A useful feature about this test is the parametric approach that makes inference about the hazard function more efficient. To examine the finite-sample properties of this test, we used simulated data . For validation, we applied the test to a real-life recurrent event data. Results show that the test possesses better power over wide range of alternatives, when compared with similar tests of the chi-square type in the literature. | |
| dc.identifier.uri | http://hdl.handle.net/11071/3819 | |
| dc.language | eng | |
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| dc.subject | baseline hazard function | |
| dc.subject | goodn ess-of-fit | |
| dc.subject | power | |
| dc.subject | recurrent events | |
| dc.subject | smooth tests | |
| dc.title | A smooth test of goodness-of-fit for the baseline hazard function in recurrent event models | |
| dc.type | Conference Paper |
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