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关于资料的统计学处理:应根据实验或调查设计的条件,选用合适的统计学分析方法。对于定量资料,应正确选用t检验、q检验或方差分析;对于定性资料应选用卡方检验等。统计结果的解释和表达:用概率P表达时,对比组之间的差异应叙述为:具有统计学意义。如P<0.05,差异具有统计学意义。而不应说“对比组之间具有显著性的(或非常显著性)的差异”。必要时,应写明所用统计分析方法的具体名称
On the statistical data processing: Should be based on experimental or survey design conditions, the choice of appropriate statistical analysis. For quantitative data, should be the correct choice of t test, q test or analysis of variance; for qualitative data should be used chi-square test. Interpretation and Expression of Statistical Results: When expressed as probability P, the differences between the control groups should be described as statistically significant. Such as P <0.05, the difference was statistically significant. Rather than saying “significant (or very significant) difference between controls”. When necessary, specify the specific name of the statistical analysis method used