Sentence examples for missing data primarily from inspiring English sources

The laboratory measurements for the 27 analytes contained various types of "missing data," primarily when the concentration was below the minimum detection level.

However it should be noted that in order to analyse these data, assumptions had to be made for missing data, primarily an assumption had to be made for 25 patients on Day 0 that ASAQ had been taken only once that day (at the clinic) and had been taken at the same time as the dose on Day 1 and Day 2 (which actually matched each other in all cases).

Sixty-three patients had missing data, primarily related to CD4 count and viral load during the study period.

Also, as discussed in more detail in the online supplementary appendix, because missing data are primarily determined by the study; by including a 'study' when modelling the subset of complete data and modelling the imputed data, the results of both will be essentially unbiased.

58 The MMRM which yields unbiased estimates of the treatment effect under this missing data mechanism was primarily favoured.

However, owing to the moderate amounts of missing data in the cohort, primarily for occupation and occupational activity (both missing 6.3% of values), multiple imputation of missing observations was performed to evaluate whether complete-case analyses introduced bias.

The remainder of these events were primarily either putatively monophyletic (missing data in one or more members of a clade) or showed strong evidence of homoplasy.

A proportion of children had missing data on samples at the one year visit, primarily because the protocol was started after the beginning of the cohort study.

The results of these analyses simply reflect the poor resolution available in titanosaur phylogenetics at the present time, primarily based on large amounts of missing data [15].

For USDA Set 2, markers were primarily included for contigs that had low missing data and were detected across multiple lines with minor allele frequency greater than 0.1.

However, these methods are limited primarily by their lack of ability to incorporate missing data.