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Parameter identifiability and model selection for sigmoid population growth models

Matthew J Simpson, Alexander P Browning, David J Warne, Oliver J Maclaren, Ruth E Baker
doi: https://doi.org/10.1101/2021.06.22.449499

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doi 
https://doi.org/10.1101/2021.06.22.449499
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  • October 20, 2021.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Matthew J Simpsona,*,
  2. Alexander P Browninga,
  3. David J Warnea,b,
  4. Oliver J Maclarenc and
  5. Ruth E Bakerd
  1. aSchool of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia
  2. bCentre for Data Science, QUT, Brisbane, Australia
  3. cDepartment of Engineering Science, University of Auckland, Auckland 1142, New Zealand
  4. dMathematical Institute, University of Oxford, Oxford, UK
  1. ↵*Corresponding author: matthew.simpson{at}qut.edu.au
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Posted October 20, 2021.
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Parameter identifiability and model selection for sigmoid population growth models
Matthew J Simpson, Alexander P Browning, David J Warne, Oliver J Maclaren, Ruth E Baker
bioRxiv 2021.06.22.449499; doi: https://doi.org/10.1101/2021.06.22.449499
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