title: Design and statistical analysis of oral medicine studies: common pitfalls.
abstract: A growing number of articles are emerging in the medical and statistics literature that describe epidemiologic and statistical flaws of research studies. Many examples of these deficiencies are encountered in the oral, craniofacial, and dental literature. However, only a handful of methodologic articles have been published in the oral literature warning investigators of potential errors that may arise early in the study and that can irreparably bias the final results. In this study, we briefly review some of the most common pitfalls that our team of epidemiologists and statisticians has identified during the review of submitted or published manuscripts and research grant applications. We use practical examples from the oral medicine and dental literature to illustrate potential shortcomings in the design and analysis of research studies, and how these deficiencies may affect the results and their interpretation. A good study design is essential, because errors in the analysis can be corrected if the design was sound, but flaws in study design can lead to data that are not salvageable. We recommend consultation with an epidemiologist or a statistician during the planning phase of a research study to optimize study efficiency, minimize potential sources of bias, and document the analytic plan.
authors.affiliation: Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL 32610-3628, USA. lbaccaglini@dental.ufl.edu
authors.forename: L
authors.initials: L
authors.lastname: Baccaglini
authors.forename: J J
authors.initials: JJ
authors.lastname: Shuster
authors.forename: J
authors.initials: J
authors.lastname: Cheng
authors.forename: D W
authors.initials: DW
authors.lastname: Theriaque
authors.forename: V J
authors.initials: VJ
authors.lastname: Schoenbach
authors.forename: S L
authors.initials: SL
authors.lastname: Tomar
authors.forename: C
authors.initials: C
authors.lastname: Poole
mesh_terms: D015982:Bias; D015986:Confounding Factors, Epidemiologic; D003625:Data Collection; D003627:Data Interpretation, Statistical; D018865:Dental Research / Q000379:methods* / Q000592:standards; D006801:Humans; D019451:Information Management; D015588:Observer Variation; D012107:Research Design / Q000592:standards*; D018401:Sample Size