logo
Loading...
Practical parameter identifiability and handling of censored data with Bayesian inference in mathematical tumour models
Mathematicsnpj Systems Biology and Applications

Practical parameter identifiability and handling of censored data with Bayesian inference in mathematical tumour models

J. Porthiyas, D. Nussey, et al.

This paper, conducted by Jamie Porthiyas, Daniel Nussey, Catherine A. A. Beauchemin, Donald C. Warren, Christian Quirouette, and Kathleen P. Wilkie, uncovers the pivotal role of decision-making in parameter estimation from experimental tumor growth data, proposing a framework that handles censored data to enhance analysis accuracy.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny