Journal of Medical Statistics and Informatics

Journal of Medical Statistics and Informatics

ISSN 2053-7662
Original Research

A Generalized Likelihood Ratio Test for Estimating Drug Adverse Reactions

Yeqian Liu

*Correspondence: Yeqian Liu

Department of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN, USA.


Likelihood ratio test is widely used for detecting adverse reactions (ARs) of single drug in biomedical studies. However, it is difficult to detect adverse reactions of multiple drugs simultaneously. Corresponding to this, we consider a generalized likelihood ratio test procedure to detect adverse reactions simultaneously for all the drugs of the same class. An extensive simulation study is performed to evaluate the proposed test procedural as well as its power and sensitivity. The simulation study suggest that the proposed test procedure seems to work well for practical situations and an illustrative example is also provided.

Keywords:Likelihood ratio test, Adverse reaction, Type I error, Sensitivity

ISSN 2053-7662
Volume 7
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