A Stochastic Model to Analyze Clonal Data on Multi‐Type Cell Populations

DOI10.1111/j.0006-341X.2005.031210.xzbMath1077.62110OpenAlexW2093650032WikidataQ30983765 ScholiaQ30983765MaRDI QIDQ5715371

Margot Mayer-Proschel, Ollivier Hyrien, Mark Noble, Andrei Yaklovlev

Publication date: 3 January 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2005.031210.x

zbMATH Keywords

Monte Carlo testOligodendrocytesSimulation-based inferenceMulti-type cell clonesPseudo likelihoodsimulated pseudo maximum likelihood estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Markov processes: estimation; hidden Markov models (62M05) Monte Carlo methods (65C05) Applications of branching processes (60J85) Estimation in survival analysis and censored data (62N02)

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• A random walk model of oligodendrocyte generation in vitro and associated estimation problems
• Estimation problems associated with stochastic modeling of proliferation and differentiation of O-2A progenitor cells in vitro
• Stochastic modeling in toxicokinetics. Application to the in vivo micronucleus assay

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