Estimators based on unconventional likelihoods with nonignorable missing data and its application to a children's mental health study

• Published in: Journal of nonparametric statistics Vol. 31; no. 4; pp. 911 - 931
• Main Authors: Zhao, Jiwei, Chen, Chi
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.10.2019; Taylor & Francis Ltd
• Subjects: Applied statistics; asymptotic normality; Child & adolescent mental health; Computer simulation; conditional likelihood; Estimators; Mental health; Missing data; missingness mechanism; Nonignorable missing data; Parameter estimation; pseudo likelihood; Sampling methods; Statistical analysis; unconventional likelihood

Nonignorable missing data is common in studies where the outcome is relevant to the subject's behaviour. Ibrahim, Lipsitz, and Horton [(2001), 'Using Auxiliary Data for Parameter Estimation with Non-ignorably Missing Outcomes', Journal of the Royal Statistical Society: Series C (Appli...