CRITICAL CHARACTERISTICS CALCULATIUONS OF THE DISTRIBUTIONS OF ANTICANCER THERAPY CONVENTIONAL INDICATORS ( MEDIAN SURVIVAL, TUMOR GROWTH INHIBITION) AND EVALUATION OF THEIR SIGNIFICANCE BASED ON THE PROBABILITY DISTRIBUION DENSITY FUNCTIONS MODELING

封面

如何引用文章

全文:

详细

Critical parameters of the distributions rates of inhibition of tumor growth (ITG) indices and increasing median survival (IMS), which are adopted in pre-clinical practice for evaluation of the anticancer potential of original substances were accurately ascertained in experiments in vivo . Under the package Mathematica 9, software modules were created which allowed to assess the statistical reliability of the ITG indicator at the levels of 70% and 90 %, and the IMS rate at the levels of 50 % and 75 %, to calculate the mathematical expectation and confidence intervals for ITG and IMS indicators at any level of the effect, to compare the effectiveness of several drugs based on mathematical expectations and confidence intervals calculated for their ITG and IMS indicators in case of close location of the corresponding formal values, and carry out priori tests on the significance of ITG and IMS taking into account the main influencing factors: variation of parameters in experimental groups and size of experimental and control groups.

作者简介

V. Aldobaev

Research Center for Toxicology and Hygiene Regulation of Bio preparations” – affiliated to the National Research Center «Institute of Immunology», Federal Medical-Biological Agency of Russia

编辑信件的主要联系方式.
Email: noemail@neicon.ru
俄罗斯联邦

A. Maslikov

«Dubna University»

Email: noemail@neicon.ru
俄罗斯联邦

L. Eremenko

Research Center for Toxicology and Hygiene Regulation of Bio preparations” – affiliated to the National Research Center «Institute of Immunology», Federal Medical-Biological Agency of Russia

Email: noemail@neicon.ru
俄罗斯联邦

A. Mazanova

Research Center for Toxicology and Hygiene Regulation of Bio preparations” – affiliated to the National Research Center «Institute of Immunology», Federal Medical-Biological Agency of Russia

Email: noemail@neicon.ru
俄罗斯联邦

参考

  1. Руководство по проведению доклинических исследований лекарственных средств, часть первая. Издание ФГБУ «НЦЭМСП» Минздравсоцразвития России; 2012: 640-654.
  2. Гмурман В.Е. Теория вероятностей и математическая статистика: Учебное пособие для вузов. 7-е изд., стереотип. М.: ВШ; 2001.
  3. Jackman S. Bayesian Analysis for the Social Sciences, Wiley; 2009: 507.

补充文件

附件文件
动作
1. JATS XML

版权所有 © Aldobaev V.N., Maslikov A.A., Eremenko L.A., Mazanova A.A., 2017



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС 77 - 81728 от 11 декабря 2013.