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Abstract Details
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Activity Number:
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74
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305602 |
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Title:
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A Cure Rate Model for Interval-Censored Data
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Author(s):
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Walter Faig*+
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Companies:
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University of California at San Diego
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Address:
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3775D Miramar St., La Jolla, CA, 92037,
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Keywords:
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Cure Rate Model ;
Interval Censoring ;
Left Truncation ;
EM Algorithm
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Abstract:
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In failure time studies the concern is sometimes twofold: the effect of treatment on the likelihood of an event and estimating the survival function given the occurrence of the event. For right-censored data these can be addressed using a mixture (cure rate) model and maximum likelihood estimation via the EM algorithm. We propose a model and develop an estimation approach to allow for left-truncated data. Here we specify the form of the EM algorithm for the case where the survival function follows the Cox model and the event probability follows a logistic one. In some failure time studies the actual event times are not recorded; instead it is known an interval in which the event occurs. To accommodate for these possibly interval-censored data we give an extension of our mixture model. Finally, we provide an example on spontaneous abortion events from pregnancy data which has motivated our methodology.
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