Statistical analysis of arthroplasty register data.
(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:
https://lup.lub.lu.se/record/1552372
- author
- Ranstam, Jonas LU and Robertsson, Otto LU
- organization
- publishing date
- 2010
- 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
- pmid:20175657
- 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
- 2016-04-04 09:39:41
- date last changed
- 2022-04-08 04:17:22
@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}},
doi = {{10.3109/17453671003587168}},
volume = {{81}},
year = {{2010}},
}