A model-free way of representing hyperthermia cell survival data

We present a method of fitting curves to cell survival data that is free from all model assumptions, requiring only that the fitted curves be decreasing and reasonably smooth, where the degree of smoothness is determined from considerations of experimental error. The fitted curves are then differentiated to yield frequency distributions of cell killing times, which may be of value in defining subpopulations with different sensitivities to the cytotoxic agent under study. In addition, confidence intervals on the fitted curves and frequency distributions are obtained by Monte Carlo simulation. The results allow the objective and model-free assessment of the effects of various experimental interventions on cell survival.