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Introducing novel and comprehensive models for predicting recurrence in breast cancer using the group LASSO approach: are estimates of early and late recurrence different?

Crossref DOI link: https://doi.org/10.1186/s12957-018-1489-0

Published Online: 2018-09-12

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Akrami, Majid

Arasteh, Peyman

Eghbali, Tannaz https://orcid.org/0000-0003-4484-2317
Shahraki, Hadi Raeisi

Tahmasebi, Sedigheh

Zangouri, Vahid

Rezaianzadeh, Abbas

Talei, Abdolrasoul
Funding

Funding for this research was provided by:

Shiraz Transplant Research Center, Shiraz University of Medical Sciences (95-01-01-12906)
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Article History

Received: 16 March 2018

Accepted: 5 September 2018

First Online: 12 September 2018

Ethics approval and consent to participate

: Study protocol was approved by the Institutional Review Board (IRB) of Shiraz University of Medical Sciences (ethics IR.sums.med.rec.1396.s248).

: All authors have approved the final format of the manuscript.

: The authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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