An Empirical Assessment of Exposure Measurement Error and Effect Attenuation in Bipollutant Epidemiologic Models | Zendy

Kathie L. Dionisio | Zendy; Lisa Baxter | Zendy; Howard H. Chang | Zendy

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An Empirical Assessment of Exposure Measurement Error and Effect Attenuation in Bipollutant Epidemiologic Models

Author(s) -

Kathie L. Dionisio,

Lisa Baxter,

Howard H. Chang

Publication year - 2014

Publication title -

environmental health perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.257

H-Index - 282

eISSN - 1552-9924

pISSN - 0091-6765

DOI - 10.1289/ehp.1307772

Subject(s) - exposure assessment , observational error , attenuation , statistics , environmental health , medicine , environmental science , econometrics , mathematics , physics , optics

Using multipollutant models to understand combined health effects of exposure to multiple pollutants is becoming more common. However, complex relationships between pollutants and differing degrees of exposure error across pollutants can make health effect estimates from multipollutant models difficult to interpret.

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