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Virtual Event

Jun 14, 2020 9:00 AM - Jun 18, 2020 5:00 PM

(Eastern Standard Time)

Fort Washington, PA 19034

DIA 2020 Global Annual Meeting

Using Data Monitoring Strategies in Detection of Data Anomalies and Trial Misconduct

Session Chair(s)

Anna  Kettermann, MA, MS

Anna Kettermann, MA, MS

Mathematical Statistician, OB, OTS, CDER

FDA, United States

Data Monitoring Committee (DMC) plays a vital role in determining the direction of an ongoing clinical trial. The DMC gets ongoing views of trial data and findings before submission to any regulatory agency. The results of the interim analysis can affect crucial trial design changes, such as sampling methodology, recalculation of sample size, or early stopping decisions due to futility, safety signals, or overwhelming efficacy. Therefore, the DMC might recommend altering the trial from its original design based on issues arising during the trial. Since the DMC has a unique opportunity for first view of the unblinded data, it can assist in monitoring the progress of the trial and oversee data quality issues to ensure the trial integrity. On the other hand, central data monitoring and proper statistical process control during the trial can mitigate issues caused by data anomalies and the impact of trial misconduct, before the submission is sent for regulatory review. Familiarity with available data monitoring tools will help in accomplishing these tasks. This session will provide a platform for trial designers and analysts from industry and regulatory agencies to discuss the proper role of the DMC, in particular, how it can be utilized to address issues of data quality and detect potential misconduct.

Learning Objective : Discuss with trial designers and analysts from industry and regulatory agencies the proper implementation of the DMC; Describe how it can be utilized to address issues of data quality and detect potential misconduct.

Speaker(s)

Janet Turk Wittes, PhD

The Role of DMCs in Ensuring Reliable Data

Janet Turk Wittes, PhD

Statistics Collaborative Inc., United States

President

Nechama  Katan, MA, MS

How to Apply Statistical Process Control to Monitor Clinical Trials Aiming to Detect Performance and Data Quality Issues

Nechama Katan, MA, MS

Pfizer Inc, United States

Director, Statistical Programming

Sylva Heghinian  Collins, PhD

Panelist

Sylva Heghinian Collins, PhD

FDA, United States

Director, Office of Biostatistics, FDA, CDER

Kenneth  Getz, MBA

Panelist

Kenneth Getz, MBA

Tufts University School of Medicine, United States

Tufts Center for the Study of Drug Development

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