Skip pattern analysis for detection of undetermined and inconsistent data

• Published in: 2012 5th International Conference on Biomedical Engineering and Informatics pp. 1122 - 1126
• Main Authors: Arslanturk, Suzan, Siadat, Mohammad-Reza, Ogunyemi, Theophilus, Demirovic, Kerima, Diokno, Ananias
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2012
• Subjects: Aging; Fake news; Graph Theory; Hands; Imputation; Inconsistent Data; Matrix converters; Noise; Older adults; Pattern analysis; Reliability theory; Skip pattern analysis; Surveys
• ISBN: 9781467311830; 1467311839
• DOI: 10.1109/BMEI.2012.6513221

A common problem in clinical survey trials is missing data. Skip patterns are one type of missing data in medical datasets, skipping a respondent over a group of questions that is not relevant to them. Applying any imputation technique to missing values caused by skip patterns may add misinformation...