Journal List > Transl Clin Pharmacol > v.23(1) > 1082615

Choi and Yim: Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics

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.

References

1. Serfling RJ. Approximation theorems of mathematical statistics. John Wiley & Sons Inc, New York. 1980.
crossref
2. Mood AM, Graybill FA, Boes DC. Introduction to the theory of statistics. 3rd ed.McGraw-Hill, New York;1974.
3. Johnson RA, Wichern DW. Applied multivariate statistical analysis. 5th ed.Englewood Cliffs, New Jersey, Prentice Hall;2002.
4. Pinheiro JC, Bates FM. Mixed-effects models in S and S-Plus. Springer, New York;2000.
5. Noh GJ. The 5th NONMEM workshop. B. NONMEM estimation (workshop manual), Seoul. 2014.
6. Bonate PL. Pharmacokinetic-pharmacodynamic modeling and simulation. Springer, New York;2006.
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