Bayesian Credible Sets for Odds Ratio of Two Binomial Proportions Using Double Sampling with False-Positive Misclassification

A Bayesian approach is considered for a point and interval estimation for odds ratios of two binomial proportion parameters using double-sampling data subject to false-positive misclassification. For such data, we derive an easy-to-implement, closed-form algorithm for drawing from the posterior dist...

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Bibliographic Details
Published inAmerican journal of mathematical and management sciences Vol. 35; no. 3; pp. 271 - 279
Main Author Rahardja, Dewi
Format Journal Article
LanguageEnglish
Published Taylor & Francis 02.07.2016
Subjects
Bayesian approach
binary data
double sampling
false positive
interval estimation
misclassification
odds ratios
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ISSN0196-6324
2325-8454
DOI10.1080/01966324.2016.1174093

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Summary:A Bayesian approach is considered for a point and interval estimation for odds ratios of two binomial proportion parameters using double-sampling data subject to false-positive misclassification. For such data, we derive an easy-to-implement, closed-form algorithm for drawing from the posterior distributions. Application of this algorithm is illustrated using data collected about student laboratory grades from a course.
ISSN:0196-6324
2325-8454
DOI:10.1080/01966324.2016.1174093