In October 2012, the China Academy of Food and Drug Inspection held an academic exchange meeting on "Application of Statistical Analysis Methods in Drug Inspection" in Beijing. Representatives from drug inspection agencies of the Chinese Procuratorate and various provincial and municipal drug inspection institutes, the General Logistics Department, the Ministry of Health and other subordinates, as well as college teachers from related majors participated in this academic exchange meeting.

As the only invited expert from the software industry, Mr. Zhou Wei, the consulting manager of JMP Business Department of SAS, gave a special report on "Trend Analysis of Drug Quality and JMP Application" at the meeting, which aroused the strong interest of the participants Of unanimous praise.

Figure 2 JMP software experts give a special report at the China Drug Inspection Institute
Figure 2 JMP software experts give a special report at the China Drug Inspection Institute

With the implementation of GLP, GMP and other regulations and the refinement of various certification requirements at home and abroad, the statistical analysis of historical drug data (including but not limited to laboratory data) has been valued by pharmaceutical companies and official drug testing agencies, and It has gradually become one of the necessary analytical techniques for monitoring the quality of medicines. However, due to the abstraction of statistical theoretical knowledge and the complexity of the statistical calculation process, the application of these good methods in domestic drug inspection agencies at all levels has always faced a large bottleneck.

The JMP software of SAS, the world's largest statistical software company, inherits the SAS industry's authoritative statistical algorithm, and at the same time has the characteristics of good visualization, strong operation interaction, and easy to learn and use, which is very suitable for a large number of non-statistics in drug inspection institutions Researchers with professional backgrounds, but often face a lot of data analysis, are also important reasons why JMP is invited to participate in this exchange meeting.

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