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Cited by 779

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Reporting Recommendations for Tumor Marker Prognostic Studies

McShane, Lisa M., Altman, Douglas G., Sauerbrei, Willi, Taube, Sheila E., Gion, Massimo, Clark, Gary M.·2005·Journal of Clinical Oncology

Abstract

Lisa M. McShane, Biometric Research Branch, National Cancer Institute, Bethesda, MD Douglas G. Altman, Medical Statistics Group, Cancer Research UK, Centre for Statistics in Medicine, Wolfson College, Oxford, UK Willi Sauerbrei, Institut fuer Medizinische Biometrie und Medizinische Informatik, Universitaetsklinikum Freiburg, Freiburg, Germany Sheila E. Taube, Cancer Diagonisis Program, National Cancer Institute, Bethesda, MD Massimo Gion, Centro Regionale Indicatori Biochimici di Tumore, Ospedale Civile, Venezia, Italy Gary M. Clark, OSI Pharmaceuticals Inc, Boulder, CO For the Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics

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Registry

Crossref · 10.1200/jco.2004.01.0454

Cites

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Metadata

Authors
McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M.
Venue
Journal of Clinical Oncology
Published
2005-12-20
Volume
23
Issue
36
Pages
9067-9072
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2163814095
Cited by
779
References
8
FWCI
22.49
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Reporting Recommendations for Tumor Marker Prognostic Studies. https://app.cochat.ai/papers/10.1200/jco.2004.01.0454
The paper
McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M. (2005). Reporting Recommendations for Tumor Marker Prognostic Studies. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2004.01.0454

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.