Literature DB >> 27777048

Analysis of a growth model inspired by Gompertz and Korf laws, and an analogous birth-death process.

Antonio Di Crescenzo1, Serena Spina2.   

Abstract

We propose a new deterministic growth model which captures certain features of both the Gompertz and Korf laws. We investigate its main properties, with special attention to the correction factor, the relative growth rate, the inflection point, the maximum specific growth rate, the lag time and the threshold crossing problem. Some data analytic examples and their performance are also considered. Furthermore, we study a stochastic counterpart of the proposed model, that is a linear time-inhomogeneous birth-death process whose mean behaves as the deterministic one. We obtain the transition probabilities, the moments and the population ultimate extinction probability for this process. We finally treat the special case of a simple birth process, which better mimics the proposed growth model.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Birth-death process; First-passage-time problem; Growth model; Inflection point; Relative growth rate; Ultimate extinction probability

Mesh:

Year:  2016        PMID: 27777048     DOI: 10.1016/j.mbs.2016.10.005

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  2 in total

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Authors:  Antonio Di Crescenzo; Paola Paraggio; Patricia Román-Román; Francisco Torres-Ruiz
Journal:  Stat Pap (Berl)       Date:  2022-08-27       Impact factor: 1.523

2.  Timescale of tumor volume of a young breast cancer patient with luminal B subtype: A case report.

Authors:  Xiaoyun Mao; Ming Zhou; Chuifeng Fan; Bo Chen; Feng Jin
Journal:  Medicine (Baltimore)       Date:  2019-10       Impact factor: 1.817

  2 in total

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