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 Concept Videos

Ethics in Research01:56

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
False Memories01:18

False Memories

False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information with...

You might also read

Related Articles

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

Sort by
Same author

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiologyĀ·2026
Same author

Linking Minimally Important Differences (MID) and Acceptable Regret to Elicit Values and Preferences in Health Decision Models.

Journal of evaluation in clinical practiceĀ·2026
Same author

How to determine the optimal duration of anticoagulation for VTE: an evidence-based decision-analytical approach.

Blood advancesĀ·2026
Same author

GRADE Guidance: Update on Developing Good Practice Statements in Guidelines.

Annals of internal medicineĀ·2026
Same author

Theory of clinical therapeutic progress: reconciling equipoise with fat-tailed (skewed) outcomes.

Journal of clinical epidemiologyĀ·2025
Same author

Converting Evidence-Based Summary of Findings Evidence Tables Into Decision Analytical, Quality Adjusted Life Years (QALY) and Life Expectancies Metrics: A Tutorial.

Journal of evaluation in clinical practiceĀ·2025

Related Experiment Video

Updated: Jun 26, 2026

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

When should potentially false research findings be considered acceptable?

Benjamin Djulbegovic1, Iztok Hozo

  • 1Department of Interdisciplinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, Florida, United States of America. Benjamin.Djulbegovic@moffitt.org

Plos Medicine
|March 1, 2007
PubMed
Summary

Society must determine when research findings are acceptable, balancing potential benefits against harms. This involves assessing "acceptable regret" and tolerance for false positives in scientific discovery.

More Related Videos

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Related Experiment Videos

Last Updated: Jun 26, 2026

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Area of Science:

  • Biostatistics
  • Research Methodology
  • Scientific Integrity

Background:

  • John Ioannidis's work suggests a high prevalence of false research findings.
  • Society lacks clear criteria for accepting potentially false research results.
  • Previous models did not define thresholds for research result acceptance.

Purpose of the Study:

  • To develop a model for determining the probability at which research findings become acceptable.
  • To integrate research benefits and harms into a decision-making framework.
  • To establish criteria for accepting research results based on societal tolerance for error.

Main Methods:

  • Combined two previously published models to create a new probability-based model.
  • Introduced the concept of "acceptable regret" to quantify tolerance for erroneous acceptance.
  • Applied the model to develop a framework for early stopping rules in clinical trials.

Main Results:

  • Research acceptance probability is contingent on expected benefits and harms.
  • Societal willingness to tolerate error significantly impacts acceptance thresholds.
  • The "acceptable regret" framework provides a quantifiable measure for decision-making.

Conclusions:

  • Absolute research truth is unattainable; societal decisions on accepting imperfect results are necessary.
  • The new model offers a framework for evaluating research findings, particularly in clinical research.
  • Defining acceptable regret is crucial for establishing when research results meet societal standards.