Open AccessPharmacometrics meets statistics—A synergy for modern drug development
Author(s) -
Ryeznik Yevgen,
Sverdlov Oleksandr,
Svensson Elin M.,
Montepiedra Grace,
Hooker Andrew C.,
Wong Weng Kee
Publication year - 2021
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12696
Subject(s) - drug development , context (archaeology) , computer science , clinical trial , medical statistics , data science , management science , medicine , drug , intensive care medicine , pharmacology , engineering , biology , pathology , paleontology
Abstract Modern drug development problems are very complex and require integration of various scientific fields. Traditionally, statistical methods have been the primary tool for design and analysis of clinical trials. Increasingly, pharmacometric approaches using physiology‐based drug and disease models are applied in this context. In this paper, we show that statistics and pharmacometrics have more in common than what keeps them apart, and collectively, the synergy from these two quantitative disciplines can provide greater advances in clinical research and development, resulting in novel and more effective medicines to patients with medical need.