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Using Data Monitoring Strategies in Detection of Data Anomalies and Trial Misconduct
Session Chair(s)
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)
The Role of DMCs in Ensuring Reliable Data
Janet Turk Wittes, PhD
Statistics Collaborative Inc., United States
President
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
Panelist
Sylva Heghinian Collins, PhD
FDA, United States
Director, Office of Biostatistics, FDA, CDER
Panelist
Kenneth Getz, MBA
Tufts University School of Medicine, United States
Tufts Center for the Study of Drug Development
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