The best estimate of the parameters (number of men per 100,000 who will ultimately develop testicular cancer in their lifetime) and (the probability per year that no mutation occurs).

I tested the hypothesis that the testicular cancer age-specific incidence data were derived from Equation 1. To obtain the best estimate of the parameters in Equation 1, I performed a least squares fit of Equation 1 to the age-specific incidence data for eight consecutive years (2000–2007). This table lists the best estimate of the parameters (number of men per 100,000 who will ultimately develop testicular cancer in their lifetime) and (the probability per year that no mutation occurs). It also lists the p-value, the probability that the hypothesis should not be rejected.