Estimating Tumor Growth Rates In Vivo
Estimating Tumor Growth Rates In Vivo
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
In this paper, we develop methods for inferring tumor growth rates from the observation of tumor volumes at two time points. We fit power law, exponential, Gompertz, and Spratt’s generalized logistic model to five data sets. Though the data sets are small and there are biases due to the way the samples were ascertained, there is a clear sign of exp...
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Full title
Estimating Tumor Growth Rates In Vivo
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4764475
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4764475
Other Identifiers
ISSN
0092-8240
E-ISSN
1522-9602
DOI
10.1007/s11538-015-0110-8