A Bayesian Approach to Account for Misclassification and Overdispersion in Count Data
نویسندگان
چکیده
منابع مشابه
A Bayesian Approach to Account for Misclassification and Overdispersion in Count Data
Count data are subject to considerable sources of what is often referred to as non-sampling error. Errors such as misclassification, measurement error and unmeasured confounding can lead to substantially biased estimators. It is strongly recommended that epidemiologists not only acknowledge these sorts of errors in data, but incorporate sensitivity analyses into part of the total data analysis....
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ژورنال
عنوان ژورنال: International Journal of Environmental Research and Public Health
سال: 2015
ISSN: 1660-4601
DOI: 10.3390/ijerph120910648