Bayesian bent-cable growth mixture tobit models for longitudinal data with skewness and detection limit: application to AIDS studies

• Published in: Statistics in medicine Vol. 35; no. 28; pp. 5302 - 5314
• Main Author: Dagne, Getachew A.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 10.12.2016; Wiley Subscription Services, Inc
• Subjects: Acquired immune deficiency syndrome; Acquired Immunodeficiency Syndrome - virology; AIDS; Antiretroviral drugs; Bayes Theorem; Bayesian analysis; Bayesian inference; change-points; Drug resistance; HIV Infections; Humans; Lentivirus; Limit of Detection; Longitudinal Studies; Medical statistics; mixed-effects models; mixture distribution; Models, Statistical; Retroviridae; skew distribution; Viral Load; change-points; mixture distribution; skew distribution; Bayesian inference; mixed-effects models

This paper presents a new Bayesian methodology for identifying a transition period for the development of drug resistance to antiretroviral drug or therapy in HIV/AIDS studies or other related fields. Estimation of such a transition period requires an availability of longitudinal data where growth t...