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The reported agreement between the neurologists' interview and the questionnaire-based diagnoses may have been influenced by the number of excluded persons from the analyses because of incomplete information in the questionnaire.
Fourth, a significant percentage of the CHMS sample was excluded from the analyses because of incomplete or missing data.
From the initial 400 children, 8 were excluded from the analyses because of incomplete growth data (for example no date of measurement).
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Of those, 18 (5.3%) were excluded from the resource allocation analyses and 8 (2.4%) were excluded from the mortality analyses, because of incomplete data.
Nineteen patients in the RM group were excluded from the final analyses because of incomplete data.
A proportion of subjects were excluded from analyses because of incomplete questionnaires.
One hundred forty-eight (3.3.%) case-patients were excluded from analyses because of incomplete data collection.
Sample size in the analyses varied because of incomplete data.
The difference in sensitivity, specificity, and balanced accuracy between the two analyses is solely due to different number of individuals used in each set of analyses (because of incomplete smoking information).
Adults with incomplete genotypes were discarded from the analyses because PASOS requires complete genotypes.
Elola excluded Portugal from the analyses because he argued that although Portugal formally had changed towards an NHS the practical implementation was incomplete: parts of the SSH system continued to exist.
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