title: A profile analysis approach using MMRM in acute schizophrenia: a comparison to some traditional approaches.
abstract: The analysis of schizophrenia studies is plagued by inefficiency and bias due to much missing data. Mixed-effect models for repeated measures designs help address these problems, but to gain even more efficiency it is desirable to judiciously use additional longitudinal data in such designs by comparing treatment groups over multiple time points. Simulations were conducted to compare a profile analysis approach to other commonly used analysis methods in the presence of data missing at random. One gains efficiency by using a composite contrast over multiple time points when the treatment effect over the time points is not substantially different.
authors.affiliation: a Statistics, Pfizer, Inc. , Groton , Connecticut , USA.
authors.forename: Thomas R
authors.initials: TR
authors.lastname: Stiger
authors.forename: Anindita
authors.initials: A
authors.lastname: Banerjee
mesh_terms: D000704:Analysis of Variance; D014150:Antipsychotic Agents / Q000627:therapeutic use*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D009716:Numerical Analysis, Computer-Assisted; D010352:Patient Dropouts; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D012107:Research Design / Q000706:statistics & numerical data; D012559:Schizophrenia / Q000188:drug therapy*; D013997:Time Factors; D016896:Treatment Outcome
chemical_list: D014150:Antipsychotic Agents