Sentence examples for random laboratory from inspiring English sources

The aims of our study were to compare the accuracy of four imputation methods for missing completely at random laboratory data and to compare the effect of the imputed values on the accuracy of two clinical predictive models.

1 3 These models can be sensitive to missing completely at random laboratory data, which may result from haemolysed samples, clumped platelets or other uncommon sample or processing problems.

Random laboratory bias might have been responsible because such laboratory imprecision would have exceeded the allowed weighing tolerances of the manufacturers and the results of on-site density controls, which of course cannot be used for patient safety monitoring.

The intermittently low breath pH values we observed were not correlated with subject, study day, or assay date, and resampling of banked samples suggested that they could not be attributed to random laboratory error.

Although these have been shown to be effective with other types of missing data, few data exist regarding the absolute or comparative effectiveness of these methods in accurately imputing missing completely at random laboratory data in predictive models.

The aims of our study were (1) to compare the accuracy of four different imputation methods for missing completely at random laboratory data in two large data sets and (2) to compare the effect of imputed values from each method on the accuracy of predictive models based on these data sets.

According to this model, the square root of the CD4 count falls along a linear mean trajectory starting from a subject-specific baseline (set point ai) and is characterized by a subject-specific slope (decline rate bi); actual CD4 counts depart from this line because of random fluctuations, laboratory imprecision, and model incomplete accuracy.

Cross-validation of analytical laboratories shows variability in pharmacological data between laboratories, which includes both systematic and random between-laboratory errors that might wrongly be attributed to population differences if not accounted for (3).

The fact that we avail of a representative sample for a largepopulation is important as it is rare in this literature, where most micro-studies areeither concentrated geographically or correspond to non-random, small laboratory sets ofsubjects.

In an attempt to better simulate casework, a random selection of laboratory personnel handled shotshells for as long as needed to load and fire the weapon.

Samples were tested in random order and laboratory personnel were blinded with regard to sputum-, culture- and HIV-status of the patients.