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

Clinical Trials01:16

Clinical Trials

10.0K
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...
10.0K
Clinical Trials: Overview01:11

Clinical Trials: Overview

4.1K
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...
4.1K
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

60
Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
60
Bioequivalence studies: Biowaivers01:13

Bioequivalence studies: Biowaivers

74
Body:In certain scenarios, in vitro dissolution tests can replace in vivo bioequivalence studies. This is particularly true when a drug product, though available in varying strengths, maintains proportional similarity in its active and inactive ingredients. In such cases, the need for in vivo bioequivalence studies for lower strength variants may be waived, provided dissolution tests and in vivo studies on the highest strength yield satisfactory results.Bioequivalence can be indicated through...
74
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

258
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,...
258
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

607
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
607

You might also read

Related Articles

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

Sort by
Same author

Target Aggregate Data Adjustment Method for Transportability Analysis Utilizing Summary-Level Data From the Target Population.

Pharmaceutical statistics·2025
Same author

Impact of vein-to-vein time in patients with R/R LBCL treated with axicabtagene ciloleucel.

Blood advances·2025
Same author

Cystoid macular edema prophylaxis in cataract surgery: A protocol for network meta-analysis.

PloS one·2024
Same author

Author Correction: Early-childhood linear growth faltering in low- and middle-income countries.

Nature·2024
Same author

Unmet needs in relapsed/refractory mantle cell lymphoma (r/r MCL) post-covalent Bruton tyrosine kinase inhibitor (BTKi): a systematic literature review and meta-analysis.

Leukemia & lymphoma·2024
Same author

Author Correction: Child wasting and concurrent stunting in low- and middle-income countries.

Nature·2023

Related Experiment Video

Updated: Nov 14, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
08:41

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

3.1K

Clinical Trial Data Sharing for COVID-19-Related Research.

Louis Dron1, Alison Dillman2, Michael J Zoratti1

  • 1Cytel Canada Inc., Vancouver, BC, Canada.

Journal of Medical Internet Research
|March 8, 2021
PubMed
Summary

The COVID-19 pandemic highlights the urgent need for data sharing in clinical research. Sharing trial data promptly can improve public health responses and reduce research uncertainty.

Keywords:
COVID-19assessmentbiaschallengeclinical trialscooperationdatadata-sharingdataseterrorfeasibilityinteroperabilityinterventionprivacyrecruitmentregistryresearchsecurity

More Related Videos

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.6K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.0K

Related Experiment Videos

Last Updated: Nov 14, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
08:41

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

3.1K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.6K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.0K

Area of Science:

  • Epidemiology
  • Clinical Trials
  • Data Science

Background:

  • Over 2500 clinical trials for COVID-19 have been registered globally.
  • Many trials lack publicly available results, potentially due to feasibility issues rather than statistical outcomes.
  • The dynamic nature of the pandemic complicates trial design and data interpretation.

Purpose of the Study:

  • To provide a perspective on data sharing practices during the COVID-19 pandemic.
  • To advocate for a shift towards a data-sharing culture in clinical research.
  • To address challenges in trial analysis and public health response.

Main Methods:

  • Review of data sharing practices in the context of the COVID-19 pandemic.
  • Discussion of challenges in trial power, bias, and heterogeneity.
  • Exploration of meta-analytic approaches and their limitations for COVID-19 data.

Main Results:

  • A significant number of COVID-19 trials may be underpowered or yield inconclusive results.
  • Standard meta-analysis methods may be insufficient due to data heterogeneity and lack of common standards.
  • Existing data sharing proposals offer potential solutions.

Conclusions:

  • The COVID-19 pandemic necessitates enhanced scientific cooperation and data sharing.
  • A proactive data-sharing culture is crucial for maximizing research impact and public health outcomes.
  • Adoption of common data standards and outcome measures is recommended.