Swedish Knee Arthroplasty Register, Department of Orthopedics, Lund University Hospital, Lund University, Lund, Sweden.
Acta Orthop. 2010 Feb;81(1):10-4. doi: 10.3109/17453671003587168.
Data from arthroplasty registers are often analyzed using survival methods. Several methodological problems exist, for example relating to competing events, non-random censoring, non-proportional hazards and dependent observations. League tables and ranking of specific survival results leds to further methodological difficulties. Most of these problems are, however, well known and a number of methods for dealing successfully with the problems have been developed. These methods are usually accessible in commercially available statistical software packages. The statistical analysis and reporting of data from arthroplasty registers can thus be improved. Development of arthroplasty register guidelines for statistical analysis could play an important role in making these registers even more useful.
关节置换术注册处的数据通常使用生存分析法进行分析。存在一些方法学问题，例如与竞争事件、非随机删失、非比例风险和相关观测有关的问题。联赛排名和特定生存结果的排名导致了进一步的方法学困难。然而，这些问题大多是已知的，已经开发出了一些成功处理这些问题的方法。这些方法通常在商业上可用的统计软件包中可用。因此，可以改进关节置换术注册处数据的统计分析和报告。制定关节置换术注册处统计分析指南可能在使这些注册处更加有用方面发挥重要作用。
