Results There are two important data analysis strategies for comparing the different effects between the two treatment groups: (1) Fixed effects model, such as independent t test, analysis of variance and analysis of covariance; (2) Linear Mixed Models.
Results There are two important data analysis strategies for comparing the different effects between the two treatment groups: (1) Fixed effects model, such as independent t test, analysis of variance and analysis of covariance; (2) Linear Mixed Models.
结果临床试验研究资料常为重复测量资料，比较各处理组的测量值差别是否有显著性，可以采用传统的统计方法如t检验、方差分析和协方差分析等；也可以采用混合模型对整个研究过程中所有时点的测量值进行分析。