ABSTRACT
The purpose of the paper was to introduce the relative risk analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects： firstly， the homogeneity test of the data in the g×2×2 table was performed； secondly， when the data met the homogeneity requirements， the point estimation and confidence interval estimation of the common relative risk based on the correction method were implemented； thirdly， when the data did not meet the requirements of homogeneity， the common relative risk RRDL and its 95% confidence interval were estimated， based on the DerSimonian-Laird method （DL method for short）； fourthly， when the data met and did not meet the requirements of homogeneity， the hypothesis of "whether the common relative risk equals to 1" was tested. Combining two examples and based on SAS software， the paper completed the following three tasks： ① the homogeneity test for the relative risk； ② the point estimation of the common relative risk； ③the confidence interval estimation of the common relative risk. The last two tasks were performed under the conditions of the data met and did not meet the homogeneity requirements， respectively. The output results of SAS software were explained， and the statistical and professional conclusions were made.
ABSTRACT
The purpose of this article was to introduce the odds ratio analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects： firstly， the homogeneity test of the odds ratio of the data in the g×2×2 table was performed； secondly， when the data met the homogeneity requirements， point estimation and confidence interval estimation for the common odds ratio based on the correction method were implemented； thirdly， when the data did not meet the homogeneity requirements， based on the approach of "the conditional distribution of the frequency in the （1，1） grid in each layer 2×2 table" ， these things， such as the point estimation and confident interval estimation as well as hypothesis testing about the common odds ratio， were accurately estimated and performed. All calculations were realized based on the FREQ procedure in SAS/STAT by means of two real examples. Furthermore， the output results of SAS software were explained， and the statistical and professional conclusions were made.
ABSTRACT
The purpose of the paper was to introduce the methods for the homogeneity test of odds ratio of a special multiway table （i.e g×2×2 table） and its SAS implementation. In the FREQ procedure of SAS/STAT， five approches for the homogeneity tests of odds ratio were introduced in detail. They were "Breslow-Day test""Breslow-Day-Tarone test""Q test""I2 measurement statistic and its uncertainty limit" and "Zelen΄s exact test". In addition， the approaches for "the homogeneity tests of the relative risk and the difference of the risk rate" were also introduced. Combining two examples， the article introduced the concrete content of the homogeneity test for the odds ratio based on SAS software， explained the output results， and concluded the statistical and professional conclusions.
ABSTRACT
The purpose of this paper was to introduce the methods of the "layered person-time data" rate ratio analysis and the SAS implementation. The specific contents included the following four aspects： ① the point estimation and the confidence interval estimation of the layer i rate ratio in the stratified person-time data； ② the homogeneity test of the rate ratios among the different layers； ③ the point estimation and the confidence interval estimation of the common rate ratio； ④ the linear trend test of the incidence density in the stratified person-time data. Through two examples， it showed the statistical calculation process based on the SAS software to realize the aforementioned four kinds of the analysis contents， including providing the SAS program code， the explanation of the SAS output results， and giving the statistical and professional conclusions.