论文标题
使用R，SAS，SPSS和Stata对复杂的调查数据进行建模：使用CLSA数据集进行比较
Modelling Complex Survey Data Using R, SAS, SPSS and Stata: A Comparison Using CLSA Datasets
论文作者
论文摘要
由于其灵活性和开源性质，该R软件已在研究人员中流行。但是，公共卫生和流行病学研究领域的研究人员对商业统计软件（例如SAS，SPSS和Stata）更为习惯。本文使用R调查软件包，SAS，SPSS和Stata对健康调查数据的分析进行了全面比较。我们使用加拿大衰老纵向研究（CLSA）中的数据集描述了常见统计分析的其他软件包的详细R码和程序，例如人口平均值和回归分析的估计。希望该论文能够激发健康科学研究人员对使用R进行数据分析的兴趣，并且还可以用作使用不同软件包进行统计分析的食谱。
The R software has become popular among researchers due to its flexibility and open-source nature. However, researchers in the fields of public health and epidemiological studies are more customary to commercial statistical softwares such as SAS, SPSS and Stata. This paper provides a comprehensive comparison on analysis of health survey data using the R survey package, SAS, SPSS and Stata. We describe detailed R codes and procedures for other software packages on commonly encountered statistical analyses, such as estimation of population means and regression analysis, using datasets from the Canadian Longitudinal Study on Aging (CLSA). It is hoped that the paper stimulates interest among health science researchers to carry data analysis using R and also serves as a cookbook for statistical analysis using different software packages.
