title: Empirical considerations in orthopaedic research design and data analysis. Part II: The application of data analytic techniques.
abstract: To assure that a hypothesis is tested as rigorously as possible, the proper statistical method must be used to analyze the data. But without a strong background in statistics, it may be difficult to determine the efficacy of the data analytic technique used in the study. This paper describes several widely used data analytic techniques and offers examples of their proper application in orthopaedic research design.
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: D003627:Data Interpretation, Statistical; D006801:Humans; D009985:Orthopedics; D012107:Research Design; D013223:Statistics as Topic