Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Evaluating preference effects in partially unblinded, randomized clinical trials.

Scott D Halpern1

  • 1Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 108 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA. shalpern@mail.med.upenn.edu

Journal of Clinical Epidemiology
|March 26, 2003
PubMed
Summary

Patient preferences can bias randomized clinical trials (RCTs) by interacting with treatment effects. New methods allow investigators to quantify these preference effects in partially unblinded RCTs for more accurate results.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinician contributions to disparities in severity of illness trajectories among mechanically ventilated patients.

medRxiv : the preprint server for health sciences·2026
Same author

Financial Incentives to Address Representativeness in Randomized Clinical Trials: A Secondary Analysis of the RETAIN Randomized Clinical Trial.

JAMA internal medicine·2026
Same author

Time-Varying Treatment Effect Models in Stepped-Wedge Cluster-Randomized Trials With Multiple Interventions.

Statistics in medicine·2026
Same author

CRT-Estimands Framework: consensus based extension of the ICH E9(R1) addendum for cluster randomised trials.

BMJ (Clinical research ed.)·2026
Same author

Nudging implementation of low tidal volume ventilation: a stepped wedge, cluster randomized trial.

Implementation science : IS·2026
Same author

On Anticipation Effect in Stepped Wedge Cluster Randomized Trials.

Statistics in medicine·2026

Area of Science:

  • Clinical Epidemiology
  • Biostatistics
  • Medical Research Methodology

Background:

  • Randomized clinical trials (RCTs) aim for unbiased intervention effect estimation.
  • Assumptions include even distribution of prognostic factors and no interaction with specific effects.
  • Patient preferences represent a potential source of bias in RCTs.

Purpose of the Study:

  • To demonstrate how patient preferences can interact with intervention effects.
  • To extend mathematical models of preference bias to blinded RCTs.
  • To provide methods for estimating preference effects in partially unblinded RCTs.

Main Methods:

  • Mathematical modeling of preference effects in RCTs.
  • Extension of existing bias models to blinded and partially unblinded trials.

Related Experiment Videos

  • Development of methods for quantifying preference bias.

    • Main Results:

    • Patient preferences can introduce bias in both placebo-controlled and active-controlled trials.
    • Bias from preferences can occur even in ostensibly blinded RCTs.
    • Quantifiable methods for estimating preference effects are presented.

    Conclusions:

    • Investigators can use proposed methods to quantify preference effects.
    • Quantification of preference effects enhances the accuracy of specific treatment effect estimation.
    • Addressing patient preferences improves the validity of RCT findings.