Modeling Cancer Cells Growth

DOI10.1080/03610926.2012.685547zbMath1296.92103OpenAlexW2092468919WikidataQ120819381 ScholiaQ120819381MaRDI QIDQ3167842

Massimo Crippa, Chiara Brombin, Clelia Di Serio

Publication date: 29 October 2012

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.685547

zbMATH Keywords

generalized additive modelsBayesian approachlinear mixed effects modelgrowth curve modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Cell biology (92C37)

Related Items (1)

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Uses Software

• R
• BayesX
• gamair

Cites Work

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• Random-Effects Models for Longitudinal Data
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• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Direct generalized additive modeling with penalized likelihood.
• Reference priors for shrinkage and smoothing parameters
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Generalized structured additive regression based on Bayesian P-splines
• Multivariate statistical modelling based on generalized linear models.

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