Statistical analysis of arthroplasty register data
Open Access
- 22 February 2010
- journal article
- research article
- Published by Medical Journals Sweden AB in Acta Orthopaedica
- Vol. 81 (1), 10-14
- https://doi.org/10.3109/17453671003587168
Abstract
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.Keywords
This publication has 22 references indexed in Scilit:
- The estimation of average hazard ratios by weighted Cox regressionStatistics in Medicine, 2009
- Health-care quality registersThe Journal of Bone and Joint Surgery. British volume, 2008
- Competing Events Influence Estimated Survival ProbabilityClinical Orthopaedics and Related Research, 2007
- Variation in outcome and ranking of hospitals: An analysis from the Swedish knee arthroplasty registerActa Orthopaedica, 2006
- Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence FunctionBiometrics, 2005
- Dependency issues in survival analyses of 55 782 primary hip replacements from 47 355 patientsStatistics in Medicine, 2004
- Cox Analysis of Survival Data with Non-Proportional Hazard FunctionsJournal of the Royal Statistical Society: Series D (The Statistician), 1992
- Partial residuals for the proportional hazards regression modelBiometrika, 1982
- Maximum utilization of the life table method in analyzing survivalJournal of Chronic Diseases, 1958
- Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 1958