Sentence examples for missing data interview from inspiring English sources

Personnel to supervise and assist Space Personnel for data entry Low-technology requirements Implemented in any clinical setting Relatively low cost Problem with low literacy patients & visual handicap Difficult with other special populations (e.g., very young, very old) Higher rate of missing data  Interview Admin.

This study allowed us to estimate the human resources needed to achieve effective recruitment set (inclusion period of a year per center), and favor interview modalities with the lowest rate of missing data (interview in the research center).

Although using the relatively large number of interviewers allowed us to examine missing data across interviews, having 10 interviewers in the project may have introduced unreliability, though we attempted to minimise this with training.

The amount of missing data at interview was not correlated with the level of functional impairment, or the questionnaires used (supporting, to our surprise, our null hypothesis).

Significant correlations were not found for interviews at baseline, I3, I4 or I5, and only a weak correlation between higher EDSS score (i.e. greater disability) and missing data for interview 2 (rho= 0.35, p < 0.05).

For children aged 10 to 12 years, questions with missing data were interviewed and completed on the spot.

The extensive pretesting and piloting resulted in relatively low levels of missing data and high interview completion rates in the main study.

For patients who had returned their questionnaires with these crucial data missing, and who had accepted to be contacted again, we obtained the missing data by telephone interview or e-mail.

Eight refused to participate and 17 were excluded from analysis due to missing data at the interview or technical difficulties in performing a blood test (insufficient or inappropriate blood sample).

The WHOQOL-BREF was basically designed to be a self-administered questionnaire but to prevent the selection bias due to illiterate participants and to reduce missing data we used interviews.

Interviewer 'D' had a slightly higher level of missing data for the baseline interview; all other interviewers had very little missing data.