Transl Clin Pharmacol.  2015 Jun;23(1):8-14. 10.12793/tcp.2015.23.1.8.

Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics

Affiliations
  • 1Division of Mathematics, College of Science and Technology, Hongik University at Sejong, Jochiwon, Sejong 339-701, South Korea.
  • 2Department of Clinical Pharmacology & Therapeutics, Seoul St. Mary's Hospital, PIPET (Pharmacometrics Institute for Practical Education & Training), College of Medicine, The Catholic University of Korea, Seoul 137-701, South Korea. yimds@catholic.ac.kr

Abstract

The maximum likelihood estimator is the point estimator of the top priority in statistical data analysis because of its optimum properties for large sample size. While the maximum likelihood estimator is widely used, it has been an abstruse subject for pharmacometricians without statitics bagkround because of high dimensional calculus and asymptotic theories. This tutorial provides a general and brief introduction to the maximum likelihood estimator and its related caluculus for non-statisticians.


MeSH Terms

Calculi
Data Interpretation, Statistical
Sample Size

Cited by  1 articles

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Transl Clin Pharmacol. 2016;24(3):119-123.    doi: 10.12793/tcp.2016.24.3.119.


Reference

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