title: Short notes on maximum likelihood inference for control-based pattern-mixture models.
abstract: A likelihood-based analytical approach has been proposed for the control-based pattern-mixture model and its extension. In this note, we derive equivalent but simpler analytical expressions for the treatment effect and its variance for these control-based pattern mixture models. Our formulae are easier to use and interpret. An application of our formulae to an antidepressant trial is provided, in which the likelihood-based analysis is compared with the multiple imputation approach.
authors.affiliation: Shire, Lexington, MA, USA.
authors.forename: Yongqiang
authors.initials: Y
authors.lastname: Tang
mesh_terms: D000928:Antidepressive Agents / Q000627:therapeutic use; D002986:Clinical Trials as Topic / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical
chemical_list: D000928:Antidepressive Agents
keywords: delta variance; missing not at random; mixed-effects model repeated measures; pattern-mixture model