Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits
National Cancer Institute · Division of Cancer Epidemiology and Genetics · +7 more institutions
Abstract
Quantitative measurements of environmental factors greatly improve the quality of epidemiologic studies but can pose challenges because of the presence of upper or lower detection limits or interfering compounds, which do not allow for precise measured values. We consider the regression of an environmental measurement (dependent variable) on several covariates (independent variables). Various strategies are commonly employed to impute values for interval-measured data, including assignment of one-half the detection limit to nondetected values or of "fill-in" values randomly selected from an appropriate distribution. On the basis of a limited simulation study, we found that the former approach can be biased…
Citation impact
- FWCI
- 19.62
- Percentile
- 100%
- References
- 39
Authors
8- JHJay H. LubinCorresponding
National Cancer Institute, Division of Cancer Epidemiology and Genetics
- JSJoanne S. Colt
National Cancer Institute, Division of Cancer Epidemiology and Genetics
- DCDavid Camann
Southwest Research Institute
- SDScott Davis
University of Washington, Fred Hutch Cancer Center
- JRJames R. Cerhan
Mayo Clinic
Topics & keywords
- Imputation (statistics)
- Statistics
- Tobit model
- Confidence interval
- Regression
- Regression analysis
- Missing data
- Covariate
- Good health and well-being