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. Author manuscript; available in PMC: 2009 Nov 5.
Published in final edited form as: Arch Intern Med. 2008 Mar 24;168(6):632–642. doi: 10.1001/archinte.168.6.632

Figure 8.

Figure 8

Distribution of treatment success in oncology. A, Although the data resemble normal distribution, the curve significantly deviates from normality (Shapiro-Wilks test: z=7.97; P<.001). B, The best fit was accomplished by using a power law function, y=A/[1+(B×x2)], where y represents the percentage of treatment success with experimental or standard treatment, and x is expressed as natural logarithm of the hazard ratio (ln HR). If ln HR is less than 0, then y predicts success of experimental treatments and vice versa. A=10.76; B=21.87; r2=95%.