title: Empirical considerations in orthopaedic research design and data analysis. Part III: Multivariable analysis.
abstract: To make a contribution to a base of knowledge, research design must be sound and the data must be analyzed by the most efficient, powerful method available. In conducting orthopaedic research as well as when interpreting the orthopaedic literature, knowledge of multivariable analysis is essential in evaluating the effects of variables that may confound or influence the relationship of interest. An understanding of the basic tenets, underlying assumptions, and purposes of frequently used types of multivariable analysis is necessary for an accurate, critical evaluation of a study's results.
authors.affiliation: Joint Implant Surgeons, Inc., Columbus, Ohio.
authors.forename: S J
authors.initials: SJ
authors.lastname: Niemcryk
authors.forename: T J
authors.initials: TJ
authors.lastname: Kraus
authors.forename: T H
authors.initials: TH
authors.lastname: Mallory
mesh_terms: D006801:Humans; D015999:Multivariate Analysis; D009985:Orthopedics; D012107:Research Design