Related Experiment Video
Updated: Feb 11, 2026

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
Published on: May 8, 2021
Reports to Independent Data Monitoring Committees: An Appeal for Clarity, Completeness, and Comprehensibility
Kevin A Buhr1, Matthew Downs2, Janelle Rhorer2
11 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Background:
Organizations presenting reports to independent data monitoring committees (IDMCs) should present data in a way that facilitates the ability of the IDMC to make informed judgments about the trial.
Methods:
This paper reviews reports to IDMCs and suggests approaches an independent statistical reporting group (ISRG) might take to prepare clear, complete, and comprehensible reports.
Results:
Sensible reporting by an ISRG and informed decision making by an IDMC require a productive partnership between the quantitative and clinical disciplines involved in a clinical trial. IDMC reports differ in structure and purpose from clinical study reports that summarize data at the end of a trial. The ISRG must have intellectual independence, recognizing that although the sponsor may be paying the bills, the ISRG is responsible to the IDMC. Ideally, it should have access to all data from the trial and should be capable of responding to requests from the IDMC without the sponsor's specific permission. The ISRG and sponsor must understand the differences between clean data at the end of the trial and data collected during the trial. To perform its role most effectively, the ISRG must collaborate with sponsor and IDMC clinicians to become conversant with the disease area, the product's mechanism of action, and the clinical relevance of important outcome measures.
Conclusions:
An IDMC is best served by an independent ISRG that will prepare clear, complete, and comprehensible reports. Given the complexities of interim data and IDMC requirements, the ISRG must be an active and informed participant in the monitoring process.
Related Concept Videos
Data Reporting and Recording
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Hypothesis Test for Test of Independence
H0: The two variables (factors)...
Law of Independent Assortment

