Statistical analysis of arthroplasty register data.
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.
Ranstam
Jonas
J
Swedish Knee Arthroplasty Register, Department of Orthopedics, Lund University Hospital, Lund University, Lund, Sweden. jonas.ranstam@med.lu.se
Robertsson
Otto
O
D019643:Arthroplasty, Replacement / Q000009:adverse effects / Q000592:standards / Q000706:statistics & numerical data*; D017408:Guidelines as Topic; D006801:Humans; D007595:Joint Prosthesis / Q000009:adverse effects / Q000592:standards; D016016:Proportional Hazards Models; D011475:Prosthesis Failure; D011785:Quality Assurance, Health Care; D012042:Registries / Q000592:standards / Q000706:statistics & numerical data*; D012086:Reoperation; D012307:Risk Factors; D013548:Sweden