PMID: 10877323Jul 6, 2000Paper

A transitional model for longitudinal binary data subject to nonignorable missing data

Biometrics
P S Albert

Abstract

Binary longitudinal data are often collected in clinical trials when interest is on assessing the effect of a treatment over time. Our application is a recent study of opiate addiction that examined the effect of a new treatment on repeated urine tests to assess opiate use over an extended follow-up. Drug addiction is episodic, and a new treatment may affect various features of the opiate-use process such as the proportion of positive urine tests over follow-up and the time to the first occurrence of a positive test. Complications in this trial were the large amounts of dropout and intermittent missing data and the large number of observations on each subject. We develop a transitional model for longitudinal binary data subject to nonignorable missing data and propose an EM algorithm for parameter estimation. We use the transitional model to derive summary measures of the opiate-use process that can be compared across treatment groups to assess treatment effect. Through analyses and simulations, we show the importance of properly accounting for the missing data mechanism when assessing the treatment effect in our example.

References

May 27, 1992·JAMA : the Journal of the American Medical Association·R E JohnsonP J Fudala

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Citations

Sep 28, 2013·PloS One·Wei LiuXiao-Hua Zhou
Aug 19, 2004·Statistics in Medicine·Brenda F Kurland, Patrick J Heagerty
May 9, 2009·Statistics in Medicine·Marco Alfò, Antonello Maruotti
Nov 6, 2012·Biometrical Journal. Biometrische Zeitschrift·Ning LiRobert M Elashoff
Jan 17, 2012·Statistics in Medicine·Matthew W GuerraThomas Ten-Have
Mar 1, 2005·Drug and Alcohol Dependence·Xiaowei Yang, Steven Shoptaw
May 3, 2014·Journal of Applied Statistics·Melody S GoodmanGlorian Sorensen
May 29, 2012·Statistical Methods in Medical Research·Chi-hong TsengGang Li
May 28, 2019·Journal of the Royal Statistical Society. Series A, (Statistics in Society)·Eugenia ButaRalitza Gueorguieva

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