Pitfalls in graft survival analysis

The reliability of a scientific work depends on the accuracy of the analysis. Scientific publications in the field of kidney transplantation still contain methodical errors that may lead to wrong conclusions and result in severe consequences for the patients. Using the data from the Collaborative Tr...

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Bibliographic Details
Main Authors: Unterrainer, Christian (Author) , Döhler, Bernd (Author) , Süsal, Caner (Author)
Format: Article (Journal)
Language:English
Published: 2018
In: HLA
Year: 2017, Volume: 91, Issue: 2, Pages: 80-87
ISSN:2059-2310
DOI:10.1111/tan.13191
Online Access:Verlag, Volltext: https://doi.org/10.1111/tan.13191
Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1111/tan.13191
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Author Notes:C. Unterrainer, B. Döhler, C. Süsal
Description
Summary:The reliability of a scientific work depends on the accuracy of the analysis. Scientific publications in the field of kidney transplantation still contain methodical errors that may lead to wrong conclusions and result in severe consequences for the patients. Using the data from the Collaborative Transplant Study, we are presenting in this study six examples of the erroneous usage of statistical methods and show how these mistakes can be avoided.
Item Description:Gesehen am 21.02.2020
: Published online: 5 December 2017
Physical Description:Online Resource
ISSN:2059-2310
DOI:10.1111/tan.13191