Validation of multivariable lung cancer risk prediction models for the personalized assignment of optimal screening frequency: a retrospective analysis of data from the German Lung Cancer Screening Intervention Trial (LUSI)

Validation of multivariable lung cancer risk prediction models for the personalized assignment of optimal screening frequency: a retrospective analysis of data from the German Lung Cancer Screening Intervention Trial (LUSI)

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Bibliographic Details
Main Authors:	González Maldonado, Sandra (Author) , Hynes, Lucas Cory (Author) , Motsch, Erna (Author) , Heußel, Claus Peter (Author) , Kauczor, Hans-Ulrich (Author) , Robbins, Hilary A. (Author) , Delorme, Stefan (Author) , Kaaks, Rudolf (Author)
Format:	Article (Journal)
Language:	English
Published:	2021
In:	Translational Lung Cancer Research Year: 2021, Volume: 10, Issue: 3, Pages: 1305-1317
ISSN:	2226-4477
DOI:	10.21037/tlcr-20-1173
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.21037/tlcr-20-1173 Verlag, lizenzpflichtig, Volltext: https://tlcr.amegroups.com/article/view/50104
Author Notes:	Sandra González Maldonado, Lucas Cory Hynes, Erna Motsch, Claus-Peter Heussel, Hans-Ulrich Kauczor, Hilary A. Robbins, Stefan Delorme, Rudolf Kaaks

Description
Summary:	Validation of multivariable lung cancer risk prediction models for the personalized assignment of optimal screening frequency: a retrospective analysis of data from the German Lung Cancer Screening Intervention Trial (LUSI)
Item Description:	Gesehen am 16.09.2021
Physical Description:	Online Resource
ISSN:	2226-4477
DOI:	10.21037/tlcr-20-1173