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

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...
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...
Blinding01:11

Blinding

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.
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...

You might also read

Related Articles

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

Sort by
Same author

Molecular mechanisms of coronary microembolization-induced MINOCA.

Basic research in cardiology·2026
Same author

Authors' reply: Poor long-term cardiovascular risk factor management after acute coronary syndrome: An observational cohort study.

Journal of internal medicine·2026
Same author

Mental disorders, psychotropic drug dispensation and unfavourable sociodemographic factors in patients with myocardial infarction with and without obstructive coronary arteries.

International journal of cardiology. Cardiovascular risk and prevention·2026
Same author

Poor long-term cardiovascular risk factor management after acute coronary syndrome: An observational cohort study.

Journal of internal medicine·2026
Same author

Helicobacter pylori, Inflammation, and Long-Term Outcome in Patients With Acute Myocardial Infarction: A Prospective Cohort Study.

Helicobacter·2026
Same author

The cTnI/cTnT Ratio in Myocardial Injury: A Multicohort and Experimental Synthesis.

Journal of the American College of Cardiology·2026

Related Experiment Video

Updated: May 18, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Realizing the full potential of registry-based randomized controlled trials.

Anna B C Humphreys1, Bertil Lindahl2, Camila Olarte Parra1

  • 1Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Journal of Clinical Epidemiology
|May 16, 2026
PubMed
Summary
This summary is machine-generated.

Registry-based randomized controlled trials (RRCTs) offer cost-effectiveness and broad recruitment. However, missing data and non-enrollment reasons can bias comparisons, impacting generalizability of trial results.

Keywords:
EligibilityMissing dataRegistry-based randomized controlled trialsRepresentativenessTarget population

More Related Videos

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Related Experiment Videos

Last Updated: May 18, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Area of Science:

  • Clinical Trials
  • Health Services Research
  • Biostatistics

Background:

  • Registry-based randomized controlled trials (RRCTs) are cost-effective and enable large-scale recruitment.
  • Registry infrastructure allows direct comparison of baseline characteristics between enrolled and non-enrolled individuals.
  • Assessing trial population representativeness is crucial for applying results to the target population.

Purpose of the Study:

  • To address challenges in registry-based randomized controlled trials (RRCTs) concerning data completeness and participant selection.
  • To improve the validity of baseline characteristic comparisons in RRCTs.
  • To enhance the generalizability of findings from RRCTs.

Main Methods:

  • Investigated the impact of missing baseline data on comparisons between enrolled and non-enrolled individuals.
  • Analyzed reasons for non-enrollment in RRCTs.
  • Proposed recommendations for improving data reporting and participant selection in RRCTs.

Main Results:

  • Missing data proportions can differ significantly between enrolled and non-enrolled groups, potentially due to non-random factors.
  • Reasons for non-enrollment (e.g., consent issues) are often not explicitly reported, complicating eligibility assessments.
  • Comparisons of baseline characteristics may be invalid if missing data or non-enrollment reasons are not properly handled.

Conclusions:

  • Standardized reporting of missing data and non-enrollment reasons is essential for RRCTs.
  • Comparisons should be restricted to individuals eligible for the trial's target population.
  • Implementing these recommendations will enhance the validity and generalizability of RRCT findings.