Sentence examples for missing test data from inspiring English sources

Bertolli et al. [ 1] use a coarsened data approach to estimate unadjusted rates of in utero and intrapartum transmission based on the assumption that infants with missing test data are distributed among transmission groups in the same proportions as infants with non-missing test data.

There were also 2 months with missing testing data from the same prison.

Ten randomly missing testing data sets were generated for comparison, and the accuracy was calculated as the average of the 10 repeats.

As per Table 2, the characteristics of the group with missing test result data did not differ from our sample.

We propose a coarsened multinomial approach for estimating PMTCT that accommodates missing test result data, regression on the three outcomes of interest, and time-varying treatment effects.

As the amount of missing test result data increased (from VP1 to VP3), the improvement offered by the CM model increased.

To quantify the effect of the imputation on predictive models, we compare the predicted classes from non-missing test data with predicted classes from imputed test data and compute the misclassification error for the logistic as well as random forest models.

The reduced samples were due to a combination of missing premorbid intelligence data (24 cases) and missing cognitive test data (range: 36 137 cases).

One unfavorable approach is to include an indicator term for missing lab test data.

Usually the dataset contains missing values, and a case-wise deletion of papers with missing tests means a lot of data is thrown away.

Scrutiny included range value testing, missing data testing, logical tests on data consistency across fields, and multiple comparisons with the original paper CRF record.