Hypothesis testing for neural cell growth experiments using a hybrid branching process model

DOI10.1093/biostatistics/kxq038zbMath1437.62420OpenAlexW2113748508WikidataQ43043850 ScholiaQ43043850MaRDI QIDQ3303628

Kieran McDermott, Kingshuk Roy Choudhury, Rob Barrett, Pearl Deacon

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxq038

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Statistical evaluation of dendritic growth models
• Topological properties of binary trees grown with order-dependent branching probabilities
• Parameter estimation in topological analysis of binary tree structures
• A stochastic dynamical model for the characterization of the geometrical structure of dendritic processes
• The Restricted EM Algorithm for Maximum Likelihood Estimation Under Linear Restrictions on the Parameters
• The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses

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