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Utility estimates were derived as follows.
Maximum likelihood estimates were derived using the Biogeme Python software [7].
The ASTER estimates were derived using the Temperature Emissivity Separation (TES) algorithm.
For each data cycle, relative risk estimates were derived from a single calendar year of drowning-related injury deaths.
Human radiation dose estimates were derived from animal data using the International Commission on Radiological Protection 103 tissue weighting factors.
Biomass estimates were derived from lidar data in conjunction with non-FIA field data using machine-learning approaches.
First, the majority of cost estimates were derived from publically available sources describing the costs of specific health care resources.
Gene-level signal estimates were derived from the CEL files.
Signal estimates were derived from the CEL files of the 13 arrays.
It appears that the original estimates were derived from epidemic data, although their source is not well documented.
Relative copy number estimates were derived through ΔΔ Ct calculations for the copy number neutral amplicon, the HEM3 control gene.
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