title: EM mixed model analysis of data from informatively censored normal distributions.
abstract: Maximum likelihood techniques using the EM algorithm are applied to correlated normally distributed survival data from a placebo-controlled, double-blind, dose-ranging crossover study to assess the short-term efficacy of an antianginal drug in patients with chronic stable angina. Censoring was informative and nonterminal and was not due to death or withdrawal from the study. Unlike previous approaches these techniques are mathematically and computationally tractable, do not require computations of high-dimensional integrals, and do not require the inversion of large matrices.
authors.affiliation: Biometrics Department, Parke-Davis Pharmaceutical Research Division, Warner-Lambert Company, Ann Arbor, Michigan 48105, USA.
authors.forename: F B
authors.initials: FB
authors.lastname: Smith
authors.forename: R W
authors.initials: RW
authors.lastname: Helms
mesh_terms: D000465:Algorithms; D000787:Angina Pectoris / Q000188:drug therapy* / Q000503:physiopathology; D018849:Controlled Clinical Trials as Topic; D018592:Cross-Over Studies; D004305:Dose-Response Relationship, Drug; D004311:Double-Blind Method; D005080:Exercise Test; D006801:Humans; D015233:Models, Statistical; D015737:Nisoldipine / Q000627:therapeutic use*; D016011:Normal Distribution; D010919:Placebos; D011336:Probability; D011897:Random Allocation
chemical_list: D010919:Placebos; D015737:Nisoldipine