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A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model

Crossref DOI link: https://doi.org/10.1007/s10985-022-09579-z

Published Online: 2022-10-08

Published Print: 2023-01

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

Authors

Withana Gamage, Prabhashi W. https://orcid.org/0000-0003-2590-6223
McMahan, Christopher S.

Wang, Lianming
Funding

Funding for this research was provided by:

National Institutes of Health (R01 AI121351)

National Science Foundation (OIA-1826715)

Office of Naval Research (N00014-19-1-2295)

National Institutes of Health (R01CA218578)
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Text and Data Mining valid from 2022-10-08

Version of Record valid from 2022-10-08
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Article History

Received: 27 January 2022

Accepted: 23 September 2022

First Online: 8 October 2022

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