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The randomized clinical trial: bias in analysis

G S May, D L DeMets, L M Friedman

|October 1, 1981

Summary

Bias in clinical trial analysis can skew results. Researchers recommend including all randomized patients in reported outcomes to ensure accurate, unbiased medical research findings.

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Area of Science:

Medical research methodology
Clinical trial design and analysis

Background:

Randomized controlled trials (RCTs) are standard in medical research.
Patient selection bias is recognized as a factor influencing study outcomes.
Bias can also significantly impact the analysis phase of clinical trials.

Purpose of the Study:

To highlight the critical role of bias during the analysis stage of clinical trials.
To emphasize the potential for systematic error introduced by excluding patients from analysis.
To advocate for transparent reporting of all randomized patient data.

Main Methods:

The study discusses the concept of bias in clinical trial analysis.
Illustrative examples from cardiovascular trials are used to demonstrate consequences.
The core method involves conceptual analysis and case examples.

Main Results:

Excluding patients from analysis due to ineligibility, non-compliance, or poor data quality introduces systematic error.
This exclusion can lead to biased study results, particularly in fields like cardiovascular research.
The integrity of clinical trial findings is compromised by selective data reporting.

Conclusions:

Reported study results must encompass outcome data from all subjects originally randomized.
Adopting a "'intention-to-treat"' approach (analyzing patients as randomized) is crucial for unbiased results.
Ensuring all data from randomized patients are included enhances the reliability and validity of clinical research.

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