Trends of linear regression model (11) fitted to radiation exposure-induced cancer incidence risk (REIC)(percent) (or log₁₀[REIC]) with explanatory variables (a) numbers of stem-cell divisions per year (or log₁₀[numbers of stem-cell divisions per year]), (b) log₁₀[cumulative number of stem-cell divisions], (c) extra risk score (ERS) and (d) log₁₀[number of stem-cells], using data of Tomasetti and Vogelstein [2], as in Table 1.

Trends of linear regression model (11) fitted to radiation exposure-induced cancer incidence risk (REIC)(percent) (or log10[REIC]) with explanatory variables (a) numbers of stem-cell divisions per year (or log10[numbers of stem-cell divisions per year]), (b) log10[cumulative number of stem-cell divisions], (c) extra risk score (ERS) and (d) log10[number of stem-cells], using data of Tomasetti and Vogelstein [2], as in Table 1.基于托马塞蒂与沃格尔斯坦的研究数据[2]，且如表1所示，针对以百分比计的辐射诱发癌症发生风险（Radiation Exposure-induced Cancer Incidence Risk, REIC）或其以10为底的对数值log10[REIC]所拟合的线性回归模型（11），其变化趋势对应四类解释变量：(a) 每年干细胞分裂次数（或其以10为底的对数值log10[每年干细胞分裂次数]）、(b) 累积干细胞分裂次数的以10为底的对数值log10[累积干细胞分裂次数]、(c) 额外风险评分（Extra Risk Score, ERS）以及(d) 干细胞数量的以10为底的对数值log10[干细胞数量]。