Suggestions(4)
Exact(5)
To identify the sources of lack of agreement, discrepancies between the medical record and the HHQ were assessed.
Two well-known sources of lack of replicability are reduced statistical power due to small (and varying) experimental samples sizes [ 5, 9, 10]; and population stratification [ 11].
Other potential sources of lack of replicability include disease heterogeneity, since some complex diseases might include similar entities with shared symptoms but different genetic architectures [ 12]; hidden age-varying effects [ 13]; biased ascertainment of genetic markers [ 14] and publication bias [ 7].
The CV for based on LD is (Hill 1981; Waples and Do 2010): (5) where n is: (6) The CV provides a theoretical insight on other potential sources of lack of precision of the estimator: number of alleles and sample size are also expected to influence the precision of the estimator and most previous simulation studies of equilibrium report behaviours in line with theory.
The precise extent of depth of field is somewhat subjective because focus drops off gradually from the precise distance of focus, and the noticeability of defocus depends on factors such as subject type, other sources of lack of sharpness, and viewing conditions.
Similar(55)
Modification indices were used as indicators to explore the sources of lack-of-fit.
NS results were found either between widely distributed species with a fair number of collections (e.g. I. hexaloba and M. myristica), suggesting habitat heterogeneity as a source of lack of power, or between species with a small number of collections (M. stenopetala / M. carolinae; I. thonneri / I. dewevrei).
However, different source-apportionment methods usually produce similar main sources, although, for example, traffic is a more difficult source because of lack of unique elemental tracers (Thurston et al. 2005).
Data from open-ended responses provided some indications of the precise sources of dissatisfaction (lack of a water dispenser and cups to drink, shortage of seats in the waiting area, and lack of shelter from rain and sun in the waiting area, which is outside the clinics).
The goal of this study is to find out the sources of this lack of comfort, in order to suggest guidelines that can enhance the performance of the MCS framework, without jeopardizing its advantages with respect to the traditional frameworks.
They may be subject to potential sources of errors, lack validation for PNTM infections and, in general, are considered to have high specificity, but only moderate sensitivity, thus being prone to an underestimation of disease prevalence [ 9, 20, 26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com