MI 过程的语句构成及语法如下：PROC MI <选择项 >;BY 变量名或变量列表;CLASS 变量名或变量名列表; EM <选择项>; FREQ 变量名; MCMC <选择项>; MONOTONE <选择项> ;TRANSFORM 变换方法 (变量名或变量列 表</选择项> ) <…变换方法 (变量名或变量列表</选择项>)> ;V AR 变量名或变量列表;
插补的目标是将缺失值pas1根据STRATAV和group变量的关系进行预测和填充。 MONOTONE REG是一个SAS PROC MI过程中的子过程,用于执行多元回归分析。它可以根据已知的自变量和因变量之间的关系,预测缺失值并进行插补。 在这个语句中,pas1是被解释变量,即要进行插补的缺失值。STRATAV和group是解释变量,即用来预测pas1的自...
第一类报错: ERROR: Each observation has analysis variables either all missing or all observed in the data set.第二类报错: ERROR: Each observation has analysis variables all observed in the data se…
/* TITLE: Documentation Example 5 for PROC MI */ /* PRODUCT: STAT */ /* SYSTEM: ALL */ /* KEYS: multiple imputation */ /* PROCS: MI */ /* DATA: */ /* */ /* SUPPORT: Yang Yuan UPDATE: Aug 21, 2007 */ /* REF: PROC MI, EXAMPLE 5 */ /* MISC: */ /***/ *---F...
MI, MIANALYZE, REG */ /* DATA: */ /* */ /* SUPPORT: Yang Yuan UPDATE: Aug 21, 2007 */ /* REF: PROC MIANALYZE, EXAMPLE 10 */ /* MISC: */ /***/ *--- Data on Physical Fitness ---* | These measurements were made on men involved in a physical | | fitness course at N...
Advancements in technology have allowed the development of a number ofsoftware and modules/packages that can perform multiple imputation in SAS, R, Stata, and other programs. In this paper we focus on two software packages: SAS PROC MI procedure (SAS Institute 2000) and IVEware. IVEware (...
sht ml . (上接第 58 页) ample 进行多重填补的最基本的程序如下 : p roc mi data = Example seed = 1000 o ut = o ut Exp ; var Oxygen Time Rate ; run ; 程序运行结果略 。原来的数据集被填补了 5 次 , 输出到名为 o ut Exp 的数据集中 。 551018 481982 1 391501 501724 451011 521145...
PROC STDIZE:用于标准化数据并处理缺失值。 PROC MI:用于多重插补,生成缺失值的估计值。 除了上述函数和过程外,SAS还提供了丰富的数据处理和统计分析功能,如数据合并、数据排序、数据透视、回归分析、聚类分析等。 关于SAS的更多详细信息和用法,可以参考腾讯云的SAS产品介绍页面:SAS产品介绍。腾讯云的SAS产品提供了强大...
Canchola JA, Neilands TB, Catania JA. Impu- tation strategies for sexual orientation using SAS PROC MI. Paper presented at: The Tenth Annual Western Users of SAS Software Con- ference, 2002; San Diego, CA (On-line). http:/ /www.hsrg.net/download.htm. Accessed January 17, 2007....
The tipping point analysis can be easily implemented using SAS procedurePROC MIand the brief instructions can be found inSensitivity Analysis with the Tipping-Point Approachwhere it uses theMONOTONEstatement to impute the missing data and theMNARstatement to adjust the imputed data by a range of spe...