对一篇医学SCI论文来说，除了创新性和意义，最重要的就是展现论文的结果了。而针对不同的医学统计，结果描述也有所不同。如果您还只停留在一种句式，那样不仅会使文章显得死板，还会显得我们的英语非常匮乏。如果您对特殊的医学统计结果无从下手，那您非常幸运，在这里我们针对不同医学统计如何生动的描述结果总结了一些实例描述，希望可以帮到大家！
显著性差异分析
1）如果差异显著，可以这样描述：
a, ..of/in A is higher/lower/ than B；
b, significant increased/decreased……was observed in A compared with B
c, significant differences in…were observed/witnessed between A and B；
d, Enhanced/decreased/ ……in response to A was observed;
e, A showed significant/better effect on ….than/compared with B
2）如果差异有趋势，可以这样描述:
a, A similar trend was observed in …….;
b, A compared to C additionally trended to…….；
c, ……tend to …..in A compared with B；
d, A tendency towards higher/lower….was seen in …..
3）如果差异不显著，可以这样描述:
a, No impact of A/B/A and B on …..was demonstrated in the presented experiment；
b, No effect on….. occurred with A/B/A and B；
c, No difference in…was observed/witnessed between A and B；
d, There was no difference in….；
e, ……in A and B did not differ
4）如果两因素之间存在相互关系，比如处理和时间效应，可以这样描述:
a, A treatment × period interaction/An interaction of treatment × week was observed for ……..as……；
b, There was an interaction of treatment × time for….
另外，在描述结果时，可以尽量将两个相关结果写在一句话中，用关联词链接，不至于单独介绍两个结果显得呆板枯燥，比如…..
a, in A and B did not differ, but ….. tended to be higher/lower with/in A/B；
b, ….. remained at a relatively low level, although a trend was observed for the increase/decrease in A/B in comparison with B/A；
c, A /B were not found to affect…….but tendency to increase was observed in B/A.
描述相关性分析
a, A is very negative significant correlated with B；
b, There is a significant negative correlation between A and B；
c, Rises in A paralleled increase in B；
d, A revealed a significant correlation with B；
e, There was an interaction between A and B….
诊断灵敏度分析
在使用ROC曲线进行医学统计时，大家可以这样来描述截断值，灵敏度和特异性：
ROC analysis of …..determined that the cut-off value of …….(数据) yielded a sensitivity of…….(数据), specificity of …….(数据), … of …….(数据), and ….. of…….(数据)；A cut-off value of …….(数据) resulted in a sensitivity, specificity, …, and …. of …….(数据), …….(数据), …….(数据), and …….(数据), respectively。
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