Sentence examples for missing values participants from inspiring English sources

Because of missing values, participants had to be excluded from the hypertension sub-analyses (n = 358), and from the dyslipidemia sub-analyses (n = 1460) using these combined variables.

bSome column numbers do not add to total sample size due to missing values Participants demonstrated awareness of community resources, reporting an average of 8 community assets (range was from 0 to 13 reported assets).

Among 55 participants with missing values, 7 participants declined to respond and 48 participants could not be located for the 12 months interview.

Missing values of participants were imputed using the last-observation-carried-forward method [ 36].

However, due to missing values, 47 participants could not be analysed (see Figure 1).

SPSS Missing Value Analysis MVAA), expectation maximization (EM) was used to replace missing values for participants having completed at least half of the GMH items.

Missing values from participants who completed the full 6-months trial but missed single test items due to health constraints or social obligations were replaced by the group mean value at the respective time point of measurement.

Missing values from participants who completed the full 6-month trial, but missed single-test items due to health constraints or social obligations, were replaced by the group mean value at the respective time point of measurement.

We found no substantial differences between subgroups and the total patient population, and no differences between participants with missing values compared with participants with no missing values, except for a few small differences in the CASE IV subgroup.

Missing values for 11 participants who had 1 item missing and 1 participant who had 2 items missing on the MSPSS were imputed using mean substitution for the same subscale and the same participant.

Further, if we consider the missing values as representing participants who lack statistical competencies, this could result in a biased underestimation of these competencies.