Application of a count data model to evaluate the anti-metastatic efficacy of QAP14 in 4T1 breast cancer allografts

DOI10.1016/j.jtbi.2022.111323zbMath1503.92040OpenAlexW4306959123MaRDI QIDQ2105491

Mengyi Han, Junsheng Xue, Weizhe Jian, Tianyan Zhou, Qingyu Yao, Ling Yong, Yu-Chen Guo

Publication date: 8 December 2022

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2022.111323

zbMATH Keywords

count datametastasisD1DRPK/PDQAP14

Mathematics Subject Classification ID

Medical applications (general) (92C50)

Cites Work

• The evolution of tumor metastases during clonal expansion
• A stochastic model for the sizes of detectable metastases
• Some remarks on overdispersion
• A stochastic model for cancer metastasis: branching stochastic process with settlement
• An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data

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