2012/03/30 by Downey, Allen B.
#Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Tissues and Organs (q-bio.TO)
paper · doi:10.48550/arxiv.1203.6890
We present a Bayesian method for estimating the age of a renal tumor given its size. We use a model of tumor growth based on published data from observations of untreated tumors. We find, for example, that the median age of a 5 cm tumor is 20 years, with interquartile range 16-23 and 90% confidence interval 11-30 years.