JSM 2012 Online Program
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Online Program HomeActivity Details
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| CE_04C | Sat, 7/28/2012, 8:30 AM - 5:00 PM | HQ-Indigo H | |
| Statistical Methodologies for Exposure Data Analysis — Continuing Education Course | |||
| ASA , Section on Statistics and the Environment | |||
| Instructor(s): Kalimuthu Krishnamoorthy, University of Louisiana at Lafayette, Thomas Mathew, University of Maryland Baltimore County | |||
| The short course will address recent statistical methodologies for accurate analysis of data on human exposure to chemicals and toxicants. Such data are very often modeled using lognormal and gamma distributions. Random effects are sometimes incorporated into the model in order to capture variability within the exposed group. In the course, statistical procedures will be discussed for addressing several problems relevant to exposure monitoring: inference for the arithmetic mean and an upper percentile, for the exceedance fraction, i.e., the population fraction for which exposure levels exceed a threshold, characterization of measurement accuracy of exposure data, and testing equivalency of sampling devices. While analyzing environmental as well as exposure data, one very often encounters values below detection limits (DLs), which complicates the data analysis significantly. In the course, special emphasis will be given to data analysis in the presence of single or multiple DLs. Novel methodologies will be described, and accuracy in the small sample scenario will be demonstrated. The issue of sample size determination will also be addressed, when DLs are present. Computational issues will be discussed, and algorithms will be provided and illustrated using real data. Prerequisites: Basic knowledge of ANOVA and mixed models. | |||
2012 JSM Online Program Home
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