Correlation and regression models as a tool for forming the design basis of pharmaceutical development aspects

Abstract


The aim of this study was to examine the use of correctness-regression mathematical models for generating a design space at the stages of pharmaceutical drug development.

About the authors

Alexandra M. Kulikova

Doctor. Reddis Laboratories, Moscow, Russia

Email: aleksandrakulikova2023@mail.ru

Galina E. Brkich

Sechenov First Moscow State Medical University, Moscow, Russia

Email: brkich_g_e@staff.sechenov.ru

Andrey O. Kuznetsov

Sechenov First Moscow State Medical University, Moscow, Russia

Email: kuznetsov_a_o@staff.sechenov.ru

References

  1. Montgomery D. C. Design and analysis of experiments. 9th ed. Hoboken: Wiley; 2017.
  2. Eriksson L., Johansson E., Kettaneh-Wold N., et al. Design of experiments: principles and applications. Umeå: Umetrics Academy; 2008.
  3. Box G. E.P., Draper N. R. Empirical model-building and response surfaces. New York: Wiley; 1987.
  4. Myers R. H., Montgomery D. C., Anderson-Cook C. M. Response surface methodology: process and product optimization using designed experiments. 4th ed. Hoboken: Wiley; 2016.
  5. Lundstedt T., Seifert E., Abramo L., et al. Experimental design and optimization. Chemom Intell Lab Syst. 1998;42:3—40.
  6. Zyryanov O. A., Brkich G. E., Pyatigorskaya N. V., et al. Planning of experiment in pharmaceutical development: textbook. Moscow; 2024. 124 p. (In Russ.)

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Sherstneva Elena Vladimirovna
EXECUTIVE SECRETARY
FSSBI «N.A. Semashko National Research Institute of Public Health»

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