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To determine ethanol in human post-mortem blood samples is problematic, largely due to the inappropriate and variable methods of preserving and storing, which can cause decomposition and loss of alcohol concentration.
Comparing handwriting samples is problematic for several reasons, Denbeaux said, noting that each individual's handwriting fluctuates.
Single molecule observation in large, living samples is problematic.
However, reliable extraction of RNA from archival samples is problematic.
The problem of attrition that can hamper this design is usually recognized, but comparing path estimates based on different samples is problematic as well [ 40].
A separate meta analysis of sensitivity and specificity using the meta analytic tools for independent binomial samples is problematic when the underlying diagnostic test utilizes a continuous or ordered categorical scale and different cut off values have been used in different diagnostic studies.
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Anaerobic cultures of airway samples are problematic in that they are labor intensive, outside standard practice for most clinical microbiologic laboratories and may have variable performance; thus, their utility as a gold-standard comparison is limited.
Direct comparisons of satisfaction scores between study samples are problematic due to the diversity of assessment instruments used, differences in client profiles, treatment settings, interventions delivered and study designs.
Comparisons with the existing literature on substance use in HR samples are problematic as the majority of studies did not report ethnicity or they dichotomised the categories e.g. white vs non-white (see Addington et al. [ 11]).
Biological samples are problematic due to the irreversible adsorption of proteins in the stationary phase, which results in a substantial loss of column efficiency and an increase in backpressure [ 37].
However, quality score calibration based on alignments with some divergence to the actual sample is problematic, especially if the divergence to the reference varies between samples.
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