From the aDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
bDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI
cEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC
dDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI
eDepartment of Civil and Environmental Engineering, Northeastern University College of Engineering, Boston, MA
fDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA.
Submitted September 28, 2018; accepted May 27, 2019.
Supported by the Superfund Research Program of the National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH); grant number P42ES017198. Additional support was provided from NIH grant number P30ES017885 and the NIH Environmental influences on Child Health Outcomes (ECHO) program grant number UG3OD023251. B.M. was funded by the NSF Division of Mathematical Sciences grant number 1712933. K.F. was funded by the Intramural Research Program of NIEHS.
The authors report no conflicts of interest.
Availability of Data and Computing Code: A general implementation of censored likelihood multiple imputation, example code, and an artificial dataset can be found at: https://github.com/bossjona/Single-Pollutant-Multiple-LODs. The dataset used in the data example is not publicly available due to the sensitive nature of demographic information and biological measurements, but is available from the corresponding author on reasonable request.
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Correspondence: Sehee Kim, Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109. E-mail: [email protected].
