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ABSTRACT
This article presents the clinical application of a special statistical method, the Multiple Correspondence Analysis (MCA), derived from data analysis and particularly suited to study a restricted population (here, 202 patients with temporomandibular joint [TMJ] disorders) whose characteristics are defined by a large number of modalities (140). Processing of a Burt-type data table, or Complete Disjunctive Table (CDT), provided a geometrical visualization of information, and permitted determination of the prevalent factor axes. Results showed a significant relationship between all the articular disorders, either peripheral or focal (TMJ), thus revealing the possibility of a yet, little known morphogenic influence on the genesis of TMJ disorders.
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Notes on contributors
Jean C. Quémar
Dr. Jean C. Quémar, has been teaching at the Faculty of Dental Surgery of the University of Rennes, France, since 1970. In 1985 he became head of one of the Departments of Fundamental Science and now coordinates the teaching of Anatomy, Physiology, and Occlusion. He took part in the creation in 1982 of a specialized Craniomandibular Disorders Unit at the Rennes Teaching Hospital. He became head of this unit in 1990.
Boris D. Lazar
Dr. Boris D. Lazar holds an Advanced Studies Certificate in mathematics, a doctorate in medicine, and a specialty certificate in forensic medicine. He is an Agrégé of the University and a lecturer at the Mathematics Institute of the University of Rennes. To further research in algebra and logic, he is currently working on statistics research. A member of the Research Institute for the Teaching of Mathematics, he is an ex qualitas participant in a National Commission for Data Processing.