0300 The NIEHS GuLF STUDY: A comparison of the β-substitution method and a Bayesian approach for handling highly censored measurement data. (23rd June 2014)
- Record Type:
- Journal Article
- Title:
- 0300 The NIEHS GuLF STUDY: A comparison of the β-substitution method and a Bayesian approach for handling highly censored measurement data. (23rd June 2014)
- Main Title:
- 0300 The NIEHS GuLF STUDY: A comparison of the β-substitution method and a Bayesian approach for handling highly censored measurement data
- Authors:
- Huynh, Tran
Quick, Harrison
Ramachandran, Gurumurthy
Banerjee, Sudipto
Monteiro, Joao
Groth, Caroline
Stenzel, Mark
Blair, Aaron
Sandler, Dale
Engle, Lawrence
Kwok, Richard
Stewart, Patricia - Abstract:
- Abstract : Objectives: Over 150 000 measurements taken on workers responding to the 2010 Deepwater Horizon oil spill are being used to develop exposure estimates for the participants in the GuLF STUDY. A large portion of the measurements, however, has values below the limit of detection (left-censored). The β-substitution method has been shown to provide accurate estimates for handling censored data, but a comparison to a Bayesian method, which permits the estimation of uncertainty and accounts for prior information, is currently lacking. The goal of this research was to compare the two methods. Method: Each method was challenged with computer-generated datasets drawn from lognormal distributions with the geometric mean (GM) = 1, sample sizes = 5–100, geometric standard deviation (GSD) = 2–5, and percent censoring = 10–90%. Percent bias and coverage (the percentage of 95% uncertainty intervals containing the truth) were used as evaluation metrics. Results: For most of our simulation scenarios, estimates of bias from the β-substitution and Bayesian methods were generally comparable for the AM and GM. The β-substitution was generally less biassed in estimating the GSD and the 95 th percentile than the Bayesian method. The Bayesian method provided consistently better coverage for the AM than β-substitution. It also provided uncertainty estimates the GM, GSD, and the 95 th percentile while β-substitution does not. Conclusions: The β-substitution method generally was observed toAbstract : Objectives: Over 150 000 measurements taken on workers responding to the 2010 Deepwater Horizon oil spill are being used to develop exposure estimates for the participants in the GuLF STUDY. A large portion of the measurements, however, has values below the limit of detection (left-censored). The β-substitution method has been shown to provide accurate estimates for handling censored data, but a comparison to a Bayesian method, which permits the estimation of uncertainty and accounts for prior information, is currently lacking. The goal of this research was to compare the two methods. Method: Each method was challenged with computer-generated datasets drawn from lognormal distributions with the geometric mean (GM) = 1, sample sizes = 5–100, geometric standard deviation (GSD) = 2–5, and percent censoring = 10–90%. Percent bias and coverage (the percentage of 95% uncertainty intervals containing the truth) were used as evaluation metrics. Results: For most of our simulation scenarios, estimates of bias from the β-substitution and Bayesian methods were generally comparable for the AM and GM. The β-substitution was generally less biassed in estimating the GSD and the 95 th percentile than the Bayesian method. The Bayesian method provided consistently better coverage for the AM than β-substitution. It also provided uncertainty estimates the GM, GSD, and the 95 th percentile while β-substitution does not. Conclusions: The β-substitution method generally was observed to have little bias but it only allows the calculation of uncertainty estimates around the AM. The Bayesian approach provided reasonably accurate point and interval estimates (i.e., coverage), but this comes with the cost of additional computation. … (more)
- Is Part Of:
- Occupational and environmental medicine. Volume 71(2014)Supplement 1
- Journal:
- Occupational and environmental medicine
- Issue:
- Volume 71(2014)Supplement 1
- Issue Display:
- Volume 71, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 71
- Issue:
- 1
- Issue Sort Value:
- 2014-0071-0001-0000
- Page Start:
- A104
- Page End:
- A104
- Publication Date:
- 2014-06-23
- Subjects:
- Medicine, Industrial -- Periodicals
Environmental health -- Periodicals
616.980305 - Journal URLs:
- http://oem.bmj.com/ ↗
http://www.jstor.org/journals/13510711.html ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=172&action=archive ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/oemed-2014-102362.325 ↗
- Languages:
- English
- ISSNs:
- 1351-0711
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- 19229.xml