Estimating tumor growth rates in vivo

Anne Talkington and Rick Durrett

Abstract. 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, several interesting conclusions come from our analyses.

Preprint

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