Orthopedic research: an overview of data entry, database management, and statistical analysis
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Updated: Oct 24, 2026

Treatment of Ankle Osteoarthritis with Total Ankle Replacement Through a Lateral Transfibular Approach
Published on: January 24, 2018
D R Kassing1, M A Ritter, P M Faris
1Center for Hip and Knee Surgery, Mooresville, Ind, 46158.
Abstract:
An orthopedic practitioner can facilitate clinical research and analyze quality assurance data with a minor investment in a personal computer, an optical scanner, and two software packages, namely a database manager and a statistics program. One of the most time-consuming stages in the research process includes entering patient chart data, editing and manipulating the data (database management), and analyzing the data (statistical analysis). This can be automated to a large extent with the above mentioned equipment. This article focuses on the steps involved in organizing an orthopedic office for research. The steps include choosing a method of data entry, choosing and implementing a database package, and choosing and implementing a statistics package. This discussion is followed by a practical review of basic statistics applicable to orthopedic research. Several simple and advanced tests are described and examples are given for each.
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