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Feb 10, 2012 · The ontology aims to represent the possible spectrum and granularity of data involved in an exposure event or study. The development and use of terminology that is both accepted and widely used by exposure practitioners is critical for integration and future growth of the exposure science field.
- Carolyn J. Mattingly, Thomas E. McKone, Michael A. Callahan, Judith A. Blake, Elaine A. Cohen Hubal
- 2012
Dec 5, 2013 · In this article, we describe and compare a collection of methods based on different modeling assumptions, under standard assumptions for missing data (i.e. missing-at-random and positivity)...
ExO is anchored by four major concepts or root classes that were identified by the working group as key to capturing exposure information. These concepts are (1) exposure event, (2) exposure stressor, (3) exposure receptor, and (4) exposure outcome.
- Carolyn J. Mattingly, Thomas E. McKone, Michael A. Callahan, Judith A. Blake, Elaine A. Cohen Hubal
- 2012
Feb 10, 2012 · To capture these data, we used the Exposure Ontology (ExO), a framework that structures key exposure concepts: " exposure stressor " (an agent, stimulus, activity or event that causes...
Nov 9, 2023 · Exposure science is often described as characterizing and predicting the intersection of chemical, biological, and physical agents with receptors, including individuals, geographically defined...
Mar 15, 2017 · Missing data are often categorized into the following three types: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). In clinical epidemiological research, missing data are seldom MCAR.
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Sep 7, 2012 · Exposure science and allied public-health disciplines have been challenged for more than 2 decades by inconsistent definitions and applications of the terms exposure and dose. From a strictly observational standpoint, three descriptors characterize the contact between a stressor and a receptor: amount (for example, concentration, mass, and ...
