Abstract:Objective Based on C# language and R language, a software is developed, which is convenient for clinicians to use. It is used to realize the automation of variance analysis of repeated measurement design data. Methods First, the statistical analysis data are imported into the software by C# language, then the R language command script is invoked to complete the ANOVA and the result output of the repeated measurement design data. Finally, the example in the 5th edition of medical statistics published in 2020 is used, combined with the example results and SPSS operation results, to verify the effect of the automation of the software. Results The results of statistical analysis included basic statistical description, repeated measurement ANOVA and result chart of pairwise comparison within the group. Based on the combination of C# language and R language, the running results of the statistical software are completely consistent with the results of manual calculation and analysis of teaching materials and SPSS operation. The operation is simple and the results are intuitive, which greatly surpasses the repeated operation of manual analysis and SPSS menu selection in efficiency; at the same time, the low-level errors in manual analysis and SPSS operation steps are avoided to the greatest extent, and the results are presented automatically, which reduces the errors in judgment and selection of results, and ensures the accuracy and standardization of results. Conclusion The software can automatically realize the single factor, two factor and two / multi-level ANOVA of repeated measurement design data, which is worthy of clinical application.
[1]秦正积,沈毅,王燕南,等.三种重复测量资料的统计分析方法比较研究[J].中国卫生统计,2014,31(3):542-545.
[2]柳伟伟,胡良平,吴圣贤,等.重复测量设计定量资料不同协方差结构模型自动选择的SAS实现程序[J].中国卫生统计,2013,30(6):931-933.
[3]冯国双.重复测量数据的常用统计分析方法[J].中国预防医学杂志,2020,54(7):804-812.
[4]陈逸敏,张晋昕.用于生存资料分析的R软件CutpointsOEHR包[J].中国卫生统计,2020,37(2):307-309.
[5]王帅,林晓东,沈明辉,等.基于 R语言的基层门诊用药大数据分析[J].中华医学图书情报杂志,2015,24(3):54-58.
[6]CHEN R, CHEN Y, LIPSON M, et al. The effect of treatment zone decentration on myopic progression during orthokeratology[J]. Curr Eye Res, 2020, 45(5):645-651.
[7]ZHENG B, CHEN Y, CHEN L, et al. Comparative study on the efficacy and safety of tumor resection in vitrectomy for retinal vasoproliferative tumors[J]. J Ophthalmol, 2019, 2019:7464123.
[8]田鹏,姜印平.MATLAB与C#混合编程在ASP.NET数值计算中的分析与实现[J].天津理工大学学报.2014(4):41-45.
[9]颜虹,王彤.医学统计学[M].北京:人民卫生出版,2020:201-207.