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Valid and reliable instruments for assessing change in health status and outcome of joint arthroplasty have been used, and data has been collected prospectively with a good rate of follow-up.
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Transcript-based analysis was used, and data were managed using HyperRESEARCH (version 2.8.3).
A semi-structured interview approach was used and data were analyzed using thematic content analysis.
One-way ANOVA was used and data are expressed as mean ± SD.
A cross-sectional survey design was used, and data were collected by interviewing subjects.
A descriptive correlational design was used and data of 401 patients were retrospectively collected for analysis.
A 32 factorial design was used and data modeled with the Weibull, Modified Gompertz and Logistic models.
A FACS calibur cytometer (Becton Dickinson) was used and data was analyzed using FlowJo software (Tree Star).
Only samples generated by routine cosmetic procedures were used, and data were analyzed anonymously.
Unless mentioned otherwise, two-sided Student t-tests were used, and data are presented as mean±sem.
The Robust Multi-Array Average (RMA) algorithm was used and data was also analyzed by the significant analysis of microarray methods (SAM).
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