A multiple imputation‐based sensitivity analysis approach for data subject to missing not at random

• Published in: Statistics in medicine Vol. 39; no. 26; pp. 3756 - 3771
• Main Authors: Hsu, Chiu‐Hsieh, He, Yulei, Hu, Chengcheng, Zhou, Wei
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 20.11.2020
• Subjects: correlation coefficient; missing not at random; multiple imputation; selection model; Sensitivity analysis; missing not at random; multiple imputation; selection model; sensitivity analysis; correlation coefficient

Missingness mechanism is in theory unverifiable based only on observed data. If there is a suspicion of missing not at random, researchers often perform a sensitivity analysis to evaluate the impact of various missingness mechanisms. In general, sensitivity analysis approaches require a full specifi...