<p>Cancer patient survival can be accurately parameterized, improving trial precision and revealing time-dependent therapeutic effects </p>

Deborah Plana; Geoffrey  Fell; Brian M. Alexander; Adam C.  Palmer; Peter K. Sorger

doi:10.7490/f1000research.1118881.1

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Plana D, Fell G, Alexander BM et al. Cancer patient survival can be accurately parameterized, improving trial precision and revealing time-dependent therapeutic effects [version 1; not peer reviewed]. F1000Research 2021, 10:1232 (poster) (https://doi.org/10.7490/f1000research.1118881.1)

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Cancer patient survival can be accurately parameterized, improving trial precision and revealing time-dependent therapeutic effects

Deborah Plana, Geoffrey Fell, Brian M. Alexander, Adam C. Palmer¹, Peter K. Sorger²

Published 02 Dec 2021 (https://doi.org/10.7490/f1000research.1118881.1)

Author Affiliations

¹ University of North Carolina at Chapel Hill, USA
² Harvard Medical School, USA

Copyright © 2021 Plana D et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Dec 2021

Cancer patient survival can be accurately parameterized, improving trial precision and revealing time-dependent therapeutic effects
[version 1; not peer reviewed]

Deborah Plana, Geoffrey Fell, Brian M. Alexander, Adam C. Palmer¹, Peter K. Sorger²

Author Affiliations

¹ University of North Carolina at Chapel Hill, USA
² Harvard Medical School, USA

Presented at

Pacific Symposium on Biocomputing (PSB) 2022

Abstract

Competing Interests

P.K. Sorger is a member of the SAB or Board of Directors of Applied Biomath, Glencoe Software, RareCyte Inc and has equity in these companies; he is a member of the SAB of NanoString Inc and a consultant for Merck and Montai Health. In the last five years the Sorger lab has received research funding from Novartis and Merck. Sorger declares that none of these relationships are directly or indirectly related to the content of this manuscript. B.M. Alexander is an employee of Foundation Medicine. No potential conflicts of interest were disclosed by the other authors.

Keywords

cancer, clinical trials, Individual participant data (IPD), oncology, data science, proportional hazards, Weibull distribution, parametric fitting

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