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Research for Pharmacodynamic Effect Transitive Relation Based on Regression Method

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Advanced Research on Computer Science and Information Engineering (CSIE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 153))

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Abstract

Research for pharmacodynamic effect is the only way to find new drug of traditional Chinese medicine, and is beneficial to finding the drug new acts.Traditional Chinese Medicine prescription may include some active substance group ,generate pharmacodynamic effect indexs.Whether or no some relationship among the pharmacodynamic effect indexs,is our focus of attention in the paper.Statistical methods is a important tool for research medicine and pharmacy. Explore and analyze the relationship among the pharmacodynamic effect indexs be of great signifiance,the paper put forward research for pharmacodynamic effect transitive relation based on regression method. It was proved to be feasible and effective after tested.

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References

  1. Fang, K.T.: The uniform design: application of number-theoretic methods in experimental design. Acta Math. Appl. Sinica 3, 363–372 (1980)

    MathSciNet  Google Scholar 

  2. Fang, K.T., Wang, Y.: Number-Theoretic Methods in Statistics. Chapman and Hall, London (1994)

    Book  MATH  Google Scholar 

  3. Yang, Z.-H., Fang, K.-T., Liang, J.-J.: A characterization of multivariate normal distribution and its applicationl. Statistics & Probability Letters 30, 347–352 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  4. Chan, L.-Y., Fang, K.-T., Mukerjee, R.: A characterization for orthogonal arrays of strength two via a regression model. Statistics & Probability Letters 54, 189–192 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  5. Fang, K.-T., Li, R.-Z., Liang, J.-J.: A multivariate version of Ghosh’s T3-plot to detect non-multinormality. Computational Statistics & Data Analysis Computational Statistics 28, 371–386 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Fang, K.-T., Qin, H.: A note on construction of nearly uniform designs with large number of runs. Statistics & Probability Letters 61, 215–224 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  7. Fang, K.-T., Tang, Y., Yin, J.: Lower bounds of various criteria in experimental designs. Journal of Statistical Planning and Inference 138, 184–195 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  8. Leung, S.-Y.L., Chan, W.-H., Leung, C.-H., et al.: Screening the fabrication conditions of ultrafiltration membranes by using the uniform design and regression analysis methods. Chemometrics and Intelligent Laboratory Systems 40, 203–213 (1998)

    Article  Google Scholar 

  9. Leung, S.-Y.L., Chan, W.-H., Luk, C.-H.: Optimization of fabrication conditions of high-efficiency ultrafiltration membranes using methods of uniform design and regression analysis. Chemometrics and Intelligent Laboratory Systems 53, 21–35 (2000)

    Article  Google Scholar 

  10. Chan, W.-H., Tsao, S.-C.: Fabrication of nanofiltration membranes with tunable separation characteristics using methods of uniform design and regression analysis. Chemometrics and Intelligent Laboratory Systems 65, 241–256 (2003)

    Article  Google Scholar 

  11. Liu, Y., Zhang, L., Cheng, L., et al.: Regression analysis Uniform design and regression analysis of LPCVD boron carbide from BCl3–CH4–H2 system. Applied Surface Science 255, 5729–5735 (2009)

    Article  Google Scholar 

  12. Sun, Z., Xu, Y.: Medical statistics. People’s Medical Publishing House, Beijing (2002)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Nie, B. et al. (2011). Research for Pharmacodynamic Effect Transitive Relation Based on Regression Method. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21411-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-21411-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21410-3

  • Online ISBN: 978-3-642-21411-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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