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Volume 7, Issue 5 (Suppl)

J Clin Trials, an open access journal

ISSN:2167-0870

Clinical Trials 2017

September 11-13, 2017

September 11-13, 2017 San Antonio, USA

4

th

International Conference on

Cl inical Tr ial s

A new class of distribution-free models in analysis of adverse events in drug safety

Richard Entsuah

Merck Research Laboratories, USA

I

n the area of pharmaceutical drug safety, one of the primary goals in analysis of adverse events (AEs) is to detect any signal

of a difference between the treatment and control groups. Traditionally, crude incidence rate, chi-square test or Fisher's exact

test, and Miettinen and Nurminen are the useful methods in analysis of single AE data depending on what level of importance

it belongs to, such as Tier 1, Tier 2, or Tier 3, which were defined by Merck. Actually, the occurrence of AEs is very complicated.

Simple measurement of AE data without enough information including duration effect, severity effect, or recurrent event,

the estimation and inference could be biased. Moreover, multiple AEs within the same system organ class (SOC) are usually

correlated with each other. So analysis of single AE over simplifies comparison among treatment arms in drug safety. In this

presentation, we would like to propose a new class of distribution-free approaches to address the effects of duration, severity,

and recurrence of AE data by using a new measurement within certain specified class. The good asymptotic properties and

robustness for the proposed models have been shown in this study. The numerical simulation studies and a case study example

are provided for illustrations.

Biography

Richard Entsuah is a Fellow of the American Statistical Association. He completed his PhD from University of Michigan. He was an Assistant Professor of Biometry

at University of Illinois in Chicago. He joined Wyeth Research from 1988 to 2007 and left as an Assistant Vice President of Global Biostatistics and Programming.

He joined Merck Research Labs as Executive Director of Late Development Statistics and is the Research Group 4 Head for Neuroscience and Respiratory

Immunology.

Richard_Entsuah@merck.com

Richard Entsuah, J Clin Trials 2017, 7:5 (Suppl)

DOI: 10.4172/2167-0870-C1-019