Does more accurate exposure prediction necessarily improve health effect estimates?
Szpiro, AA; Paciorek, CJ; Sheppard, L
HERO ID
759873
Reference Type
Journal Article
Year
2011
Language
English
PMID
| HERO ID | 759873 |
|---|---|
| In Press | No |
| Year | 2011 |
| Title | Does more accurate exposure prediction necessarily improve health effect estimates? |
| Authors | Szpiro, AA; Paciorek, CJ; Sheppard, L |
| Journal | Epidemiology |
| Volume | 22 |
| Issue | 5 |
| Page Numbers | 680-685 |
| Abstract | A unique challenge in air pollution cohort studies and similar applications in environmental epidemiology is that exposure is not measured directly at subjects' locations. Instead, pollution data from monitoring stations at some distance from the study subjects are used to predict exposures, and these predicted exposures are used to estimate the health effect parameter of interest. It is usually assumed that minimizing the error in predicting the true exposure will improve health effect estimation. We show in a simulation study that this is not always the case. We interpret our results in light of recently developed statistical theory for measurement error, and we discuss implications for the design and analysis of epidemiologic research. |
| Doi | 10.1097/EDE.0b013e3182254cc6 |
| Pmid | 21716114 |
| Wosid | WOS:000293447500013 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | No |
| Language Text | English |
| Is Peer Review | No |
| Is Qa | No |
| Relationship(s) |
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