Spinelli A, Osborn J F
Laboratorio di Epidemiologia e Biostatistica, Istituto Superiore di Sanità, Rome, Italy.
Biomed Pharmacother. 1991;45(6):243-7. doi: 10.1016/0753-3322(91)90024-n.
Four regression models have been fitted to data of the monthly number of induced abortions in Italy between January 1984 and April 1986, in order to predict the number which would have occurred in the 5 months following the Chernobyl explosion. In model I the average number of abortions per day in each month was the dependent variable and calendar months, a linear time trend and previous month's value were the independent variables. Model II included a quadratic time trend term in addition to the independent variables used in model I. Models III and IV were like models I and II except that the dependent variable was the average number of abortions per working day in each month and the effect of the previous month's value was omitted. The 4 models all implied that an excess number of abortions were performed in the 5 months following the Chernobyl accident. The mean daily excess was estimated to be 28 and 52 per day for models I and II and the mean excess per working day was estimated to be 20 and 30 by models III and IV, respectively. Clearly the estimated magnitude of the excess depends on whether the quadratic time trend is included among the explanatory variables, but these results imply that the excess is unlikely to be merely due to chance.
为了预测切尔诺贝利核爆炸后5个月内意大利的人工流产数量,对1984年1月至1986年4月期间意大利每月人工流产数量的数据拟合了四个回归模型。在模型I中,每月每天的平均流产数量是因变量,日历月份、线性时间趋势和上月的值是自变量。模型II除了模型I中使用的自变量外,还包括一个二次时间趋势项。模型III和IV与模型I和II类似,只是因变量是每月每个工作日的平均流产数量,并且省略了上月值的影响。这四个模型都表明,在切尔诺贝利事故后的5个月内进行了过量的人工流产。模型I和II估计每日平均超额流产数分别为28例和52例,模型III和IV估计每个工作日的平均超额流产数分别为20例和30例。显然,超额数量的估计幅度取决于解释变量中是否包含二次时间趋势,但这些结果表明,超额流产不太可能仅仅是由于偶然因素。