,Regression analysis based on the variable transformation(Ⅲ)——the approach of searching the ideal experimental point[J].SICHUAN MENTAL HEALTH,2019,32(3):203-208
Regression analysis based on the variable transformation(Ⅲ)——the approach of searching the ideal experimental point
DOI:10.11886/j.issn.1007-3256.2019.03.003
English keywords:Analysis of variance  Regression analysis  Conjoint analysis  BOX - COX transformation  Ideal experimental point
Fund projects:国家高技术研究发展计划课题资助(2015AA020102)
Author NameAffiliation
胡良平 军事科学院研究生院世界中医药学会联合会临床科研统计学专业委员会 
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English abstract:
      The purpose of this paper was to introduce a special approach of the difference analysis to process the univariate quantitative data collected from the multi - factor experimental design, which was called the conjoint analysis. Normally, ANOVA should be used to deal with the quantitative data of multi - factor design. The variance analysis, however, could not give the evaluation of the " importance" about each of the influence factors and could not output the " Part - Worth Utility" of each level of every factor as well as could not produce the " ideal experimental point" . The paper showed that the TRANSREG procedure in SAS had powerful and various abilities of the variable transformation. The procedure could achieved the previous aims, since it assembled the variance analysis and regression analysis and conjoint analysis together, and it could process the complex data of noncompliance with requirements of the traditional statistics.
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