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

Randomized Experiments01:13

Randomized Experiments

8.8K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
8.8K
Blinding01:11

Blinding

3.8K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
3.8K
Ethics in Research01:56

Ethics in Research

25.3K
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.
25.3K
Blind Procedures02:07

Blind Procedures

12.8K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
12.8K
Group Design02:01

Group Design

10.1K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.1K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

333
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
333

You might also read

Related Articles

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

Sort by
Same author

Patient preferences for the integration of exercise for depression into mental health care.

Translational behavioral medicine·2026
Same author

Young Adults' Perspectives on an Ecological Momentary Intervention for Drinking to Cope: Qualitative Study.

JMIR formative research·2026
Same author

Health Communication Campaign Performance During the HEALing Communities Study: Cross-Sectional Examination of Digital Advertising Methods.

Journal of medical Internet research·2026
Same author

Assessing Motivation for Condom Use Among MSM: Effort Discounting as a Novel Measure of Sexual Risk.

AIDS and behavior·2026
Same author

Association Between Availability of Fruits and Vegetables in Neighborhood Food Stores and Weight Among Residents of Low-Income Urban Public Housing: Cross-Sectional Study.

JMIR formative research·2026
Same author

DUI Detection From Gait Using a Multichannel 1DCNN-Attention-BiLSTM Framework.

IEEE access : practical innovations, open solutions·2025

Related Experiment Video

Updated: Jan 6, 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

8.9K

Lessons Learned Identifying and Controlling Fraudulent Participation in Online Randomized Trials.

Robert Siebers1, Kara M Magane1, Hattie Slayton1

  • 1School of Public Health, Boston University, Boston, MA, United States.

Journal of Medical Internet Research
|October 29, 2025
PubMed
Summary

Online clinical trials face fraud risks. This study details methods to detect and prevent fraudulent participants, successfully stopping enrollment after implementing new prevention strategies.

Keywords:
HIVclinical trials as topicfraudfraud detection in clinical researchfraudulent research participationvirtual clinical trials

More Related Videos

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.5K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.3K

Related Experiment Videos

Last Updated: Jan 6, 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

8.9K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.5K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.3K

Area of Science:

  • Clinical research methodology
  • Digital health and telemedicine
  • Research integrity and ethics

Background:

  • Virtual clinical trials enhance research accessibility but introduce risks of fraudulent participation for financial gain.
  • Fraudulent enrollment, involving falsified identities or eligibility information, was identified in two linked online clinical trials in 2023.
  • The study addresses the challenge of maintaining research integrity in online environments.

Purpose of the Study:

  • To describe the process of uncovering and removing fraudulent participants from virtual research studies.
  • To detail methods implemented to prevent future fraudulent enrollment in online clinical trials.
  • To evaluate the effectiveness of implemented fraud prevention strategies.

Main Methods:

  • Categorization of suspicious activity indicators across prescreening, screening, and baseline stages.
  • Implementation of a manual checklist method for fraud prevention.
  • Evaluation of fraud prevention effectiveness six months post-implementation.

Main Results:

  • Prior to detection, 10 fraudulent participants were enrolled.
  • Following the implementation of new fraud prevention measures, 37 individuals were identified as fraudulent at the screening stage.
  • No new fraudulent participants were enrolled after the implementation of enhanced prevention methods.

Conclusions:

  • Manual fraud prevention methods, combined with automated systems, are effective in detecting and preventing fraudulent enrollment in online clinical studies.
  • Identifying suspicious behaviors across study stages is crucial for mitigating virtual research intrusion.
  • Proactive and systematic fraud detection is essential for maintaining the validity of virtual research.