title: The application of large Gaussian mixed models to the analysis of 24 hour ambulatory blood pressure monitoring data in clinical trials.
abstract: We propose the use of Gaussian mixed models to analyse statistically 24 hour ambulatory blood pressure data from clinical trials. We develop specific models and apply them to data from a clinical study that compares two angiotensin-converting enzyme inhibitors. We investigate and discuss computing issues related to the implementation of such methods. We conclude that this methodology provides a sophisticated but practical approach to the analysis of such data.
authors.affiliation: Statistics Unlimited, Inc., Wellesley Hills, MA 02181.
authors.forename: M R
authors.initials: MR
authors.lastname: Selwyn
authors.forename: D M
authors.initials: DM
authors.lastname: Difranco
mesh_terms: D000328:Adult; D000959:Antihypertensive Agents / Q000009:adverse effects / Q000627:therapeutic use*; D001794:Blood Pressure / Q000187:drug effects; D015924:Blood Pressure Monitors / Q000706:statistics & numerical data*; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D004311:Double-Blind Method; D005260:Female; D006801:Humans; D006973:Hypertension / Q000188:drug therapy*; D008297:Male; D015233:Models, Statistical; D016011:Normal Distribution; D016037:Single-Blind Method; D012984:Software
chemical_list: D000959:Antihypertensive Agents