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

Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.7K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

274
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,...
274
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
Study Design in Statistics01:15

Study Design in Statistics

9.8K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
9.8K
Binomial Probability Distribution01:15

Binomial Probability Distribution

14.8K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
14.8K
Clinical Trials: Overview01:11

Clinical Trials: Overview

4.3K
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...
4.3K

You might also read

Related Articles

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

Sort by
Same author

Minimum noninferiority dose for phase I clinical trials with immunotherapy.

Biometrics·2026
Same author

Patient Retreat in Dose Escalation for Phase I Clinical Trials With Rare Diseases.

Statistics in medicine·2026
Same author

Wasserstein GAN-based estimation for conditional distribution function with current status data.

Lifetime data analysis·2026
Same author

Learning from the omicron BA.4/5 dominance: Strategies for future vaccination preparedness.

Vaccine·2025
Same author

SIB-MIL: Sparsity-Induced Bayesian Neural Network for Robust Multiple Instance Learning on Whole Slide Image Analysis.

IEEE transactions on medical imaging·2025
Same author

Decision Tables for Calibration-Free Odds Design in Phase I Clinical Trials.

JCO precision oncology·2025

Related Experiment Video

Updated: Nov 29, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

921

Principles and Reporting of Bayesian Trials.

J Jack Lee1, Guosheng Yin2

  • 1Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer
|November 24, 2020
PubMed
Summary
This summary is machine-generated.

Bayesian clinical trials offer adaptive designs but lack standardized reporting. This overview details Bayesian trial components and provides essential reporting guidelines for researchers.

Keywords:
Bayesian designPosterior distributionPrior distributionsReportingStatistical inference

More Related Videos

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

14.9K
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

11.0K

Related Experiment Videos

Last Updated: Nov 29, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

921
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

14.9K
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

11.0K

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Statistical Inference

Background:

  • Bayesian clinical trials are increasingly adopted due to their adaptive and flexible nature.
  • These trials involve specifying prior distributions, constructing likelihood functions, and performing inference on posterior distributions.
  • Established reporting guidelines for frequentist trials contrast with less developed standards for Bayesian trials.

Purpose of the Study:

  • To provide a comprehensive overview of Bayesian clinical trial design, conduct, and analysis.
  • To elaborate on best practices and common pitfalls in reporting Bayesian trials.
  • To offer practical guidance on reporting dos and don'ts for Bayesian trial research.

Main Methods:

  • Literature review and synthesis of current practices in Bayesian clinical trials.
  • Analysis of key components: prior specification, likelihood construction, and posterior inference.
  • Development of reporting recommendations based on identified gaps and needs.

Main Results:

  • Key elements of Bayesian trial design, conduct, and analysis are outlined.
  • Specific recommendations are provided for reporting prior distributions, model specifications, and posterior summaries.
  • Common reporting challenges and their solutions are discussed.

Conclusions:

  • Standardized reporting is crucial for the transparent and reproducible conduct of Bayesian clinical trials.
  • Adherence to clear reporting guidelines enhances the credibility and interpretability of Bayesian trial results.
  • This work aims to facilitate consistent and high-quality reporting of Bayesian clinical trial research.