1.

Record Nr.

UNINA9910300154203321

Autore

Manfredini Daniele

Titolo

Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research [[electronic resource] /] / by Daniele Manfredini, Rosa Arboretti, Luca Guarda Nardini, Eleonora Carrozzo, Luigi Salmaso

Pubbl/distr/stampa

New York, NY : , : Springer New York : , : Imprint : Springer, , 2014

ISBN

1-4939-0876-6

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (89 p.)

Collana

SpringerBriefs in Statistics, , 2191-544X

Disciplina

617.522

Soggetti

StatisticsĀ 

Oral surgery

Maxillofacial surgery

Statistics for Life Sciences, Medicine, Health Sciences

Oral and Maxillofacial Surgery

Statistical Theory and Methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

Fundamentals -- Etiology and Epidemiology -- Diagnosis and Treatment -- Literature Reviews.

Sommario/riassunto

This book covers the biostatistical methods utilized to interpret and analyze dental research in the areas of orofacial pain and temporomandibular disorders. It will guide practitioners in these fields who would like to interpret research findings or find examples on the design of clinical investigations. After an introduction dealing with the basic issues, the central sections of the textbook are dedicated to the different types of investigations in sight of specific goals researchers may have. The final section contains more elaborate statistical concepts for expert professionals. The field of orofacial pain and temporomandibular disorders is emerging as one of the most critical areas of clinical research in dentistry. Due to the complexity of clinical pictures, the multifactorial etiology, and the importance of psychosocial factors in all aspects of the TMD practice, clinicians often find it hard to appraise their modus operandi, and researchers must constantly increase their knowledge in epidemiology and medical statistics.



Indeed, proper methodological designs are fundamental to reaching high levels of internal and external validity of findings in this specific area.