Dose Escalation using Kaplan-Meier (Product-Limit) Model


Authors : Mary Chriselda A, Maria Roopa Thomas

Volume/Issue : Volume 4 - 2019, Issue 11 - November

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2OdpjPt

This paper majorly deals with the different statistical techniques that can be applied to the dose escalation data of phase-I clinical trials in oncology. The paper proposes the use of Kaplan-Meier estimation of a non-parametric model which is further extended to the Ph (Proportional Hazard Model) with the help of the Cox-Regression. It is focused on the DLE (Dose Limiting Event) along with the covariates like AntiFactor rendered, doses given subjected to the cohorts .The maximum level of dose toleration is considered as the estimate of the maximum likelihood estimation of the density function derived. The paper proposes these new statistical methods for the data to improvise the efficacy of cytostatic drugs by validation using the Rsoftware to generate these results.

Keywords : Dose-Escalation,Kaplan-MeierEstimate,PH model,Cox Regression Model.

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