In this way, the considerable imprecision often arising from low frequencies of occurrence is clearly demonstrated [ 40].
Imprecision can arise from inadequate or improper training of personnel, difficulties in measurement of certain anthropometric characteristics such as skinfolds, and instrumental or technical errors.
Imprecision may arise in connection with several aspects of a study, including measurement of a primary outcome (see item 6a) or diagnosis (see item 4a).
Such softened model constraints may be used to roughly incorporate imprecision in the model arising, for instance, from non-compliance with the pseudo-steady-state assumption, partial unbalance of some metabolites or uncertain yields.
These include the short-term repeatabilities and long-term combined standard uncertainties of the measurements, the latter which consider analytical imprecision and potential biases arising from unavoidable variations in operating conditions.
In applying our model, methods are needed to resolve uncertainty arising from imprecision in the estimates of treatment benefit and treatment harm derived from group-level results from RCTs.
The imprecision of these measurements is the component of inaccuracy arising from uncontrolled variations to the indications of the balance over repeated trials.
6– 8 It includes uncertainty in estimates or relationships among species (including imprecision and bias), natural variation such as in population dynamics arising from environments and their often unpredictable effects (e.g., effects of weather on population dynamics), and model uncertainty (e.g., uncertainty in the most appropriate way of describing relationships).
Errors and uncertainties in both CO and PM2.5 models may have also arisen from imprecision in geocoding, a limited number of locations (none of which were participants' locations), rounding of exposure windows to the nearest month (which also hampered our ability to differentiate among exposure windows), and inaccurate land use measures.
