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Related Concept Videos

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...
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...
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...
Study Design in Statistics01:15

Study Design in Statistics

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...
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...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...

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Related Experiment Video

Updated: May 26, 2026

Clinical Efficacy of an Innovative Multidimensional Traction Therapy in Moderate Adolescent Idiopathic Scoliosis
07:12

Clinical Efficacy of an Innovative Multidimensional Traction Therapy in Moderate Adolescent Idiopathic Scoliosis

Published on: February 10, 2026

A statistical framework for quantifying clinical equipoise for individual cases during randomized controlled surgical

Nicholas R Parsons1, Yuri Kulikov, Alan Girling

  • 1Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK. nick.parsons@warwick.ac.uk

Trials
|December 15, 2011
PubMed
Summary
This summary is machine-generated.

A new statistical framework helps identify eligible patients for surgical trials by assessing collective clinical equipoise. This approach simplifies criteria, potentially increasing participation in crucial randomized controlled trials.

Related Experiment Videos

Last Updated: May 26, 2026

Clinical Efficacy of an Innovative Multidimensional Traction Therapy in Moderate Adolescent Idiopathic Scoliosis
07:12

Clinical Efficacy of an Innovative Multidimensional Traction Therapy in Moderate Adolescent Idiopathic Scoliosis

Published on: February 10, 2026

Area of Science:

  • Clinical Trials Methodology
  • Surgical Intervention Evaluation
  • Biostatistics

Background:

  • Randomized controlled trials (RCTs) are vital for surgical intervention evaluation.
  • Patient eligibility in surgical trials faces challenges due to practice variations and diverse interventions.
  • Low clinician agreement on intervention value necessitates improved recruitment strategies.

Purpose of the Study:

  • To present a statistical framework for assessing uncertainty before patient recruitment in clinical trials.
  • To demonstrate how expert opinions can be elicited, pooled, and modeled for trial eligibility.
  • To address the challenge of patient recruitment in surgical RCTs.

Main Methods:

  • Utilized a panel of expert clinical assessors.
  • Employed techniques for eliciting, pooling, and modeling expert opinions.
  • Applied a statistical framework illustrated with data from the UK Heel Fracture Trial.

Main Results:

  • Developed a clear and simple statistical modeling approach for clinicians.
  • Demonstrated how recruitment decisions are influenced by collective expert opinion.
  • Showcased the impact of different decision rules on recruitment.

Conclusions:

  • The statistical framework can aid in identifying eligible patients for surgical trials.
  • This methodology has the potential to simplify eligibility criteria.
  • Simplifying criteria may lead to increased participation in surgical intervention trials.