Advanced

Statistical analysis of arthroplasty register data.

Ranstam, Jonas LU and Robertsson, Otto LU (2010) In Acta Orthopaedica 81. p.10-14
Abstract
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. The statistical analysis and reporting of data from arthroplasty registers can thus be improved. Development of arthroplasty register guidelines for statistical analysis could... (More)
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. 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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Acta Orthopaedica
volume
81
pages
10 - 14
publisher
Taylor & Francis
external identifiers
  • wos:000276167300005
  • pmid:20175657
  • scopus:77950471251
ISSN
1745-3682
DOI
10.3109/17453671003587168
language
English
LU publication?
yes
id
9b5ed3d2-fda1-45d1-ad82-8f297ed76138 (old id 1552372)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/20175657?dopt=Abstract
date added to LUP
2010-03-03 13:04:05
date last changed
2017-04-09 04:35:45
@article{9b5ed3d2-fda1-45d1-ad82-8f297ed76138,
  abstract     = {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. 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.},
  author       = {Ranstam, Jonas and Robertsson, Otto},
  issn         = {1745-3682},
  language     = {eng},
  pages        = {10--14},
  publisher    = {Taylor & Francis},
  series       = {Acta Orthopaedica},
  title        = {Statistical analysis of arthroplasty register data.},
  url          = {http://dx.doi.org/10.3109/17453671003587168},
  volume       = {81},
  year         = {2010},
}