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Abstract Details
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Activity Number:
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424
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #301720 |
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Title:
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Interval-Censored Negative Binomial Regression
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Author(s):
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Stephanie Simon*+
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Companies:
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Baylor University
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Address:
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66 Daughtrey Ave, Waco, TX, 76706,
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Keywords:
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Interval-censored ;
negative binomial regression ;
survey ;
Bayesian
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Abstract:
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Interval-censored counts arise in various applications, including survey data in which the respondent is questioned about a sensitive subject, such as number of sexual partners, or asked to recall the number of occurrences of some event, such as headaches in the last week. Suppose the true count falls in the interval [j,k] with probability 1 but that we only observe the lower and upper bounds of that interval, j and k. We consider a negative binomial regression on such interval-censored counts. We take a Bayesian approach in our analysis, and in a simulation study we compare our results with those obtained from similar analysis when the true counts are known.
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