Fitting the Linear-quadratic Model Using Time of Occurrence As the End-point for Quantal Response Multifraction Experiments

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Abstract
A statistical technique is given for fitting the linear–quadratic model to experimental quantal response multifraction data using the time of the response as the end-point. The analysis used is based on the Cox Proportional Hazards model. The technique is useful for late effects where the time of occurrence of the response is dose dependent. The technique is compared to logistic regression analysis and the advantages and disadvantages are discussed. Both methods are applied to a lung pneumonitis experiment and a kidney experiment.