Tumour growth parameter estimation from doubling times

Awarness of tumour growth characteristics is important in treatment of deadly disease Cancer. Experiments take lengthy time to explore the characteristics and availability of required sample size is another drawback in making conclusions about tumour growth characteristics. Mathematical modeling and statistical theory facilitates in predicting results without conducting experiments practically and making inferences about tumour growth parameters from sample characteristics. In this paper, the proliferation rates and interval estimates of proliferation rates with different confidence levels of various human cancer tumours were estimated with the help of tumour growth equation and sampling theory using doubling times from experimental data.