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Related Concept Videos

Clinical Trials01:16

Clinical Trials

9.6K
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...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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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...
3.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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,...
197
What are Estimates?01:06

What are Estimates?

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It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
6.1K
Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

Clinically Relevant Drug Product Specifications: Methods of Establishment

12
Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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Hazard Ratio01:12

Hazard Ratio

289
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...
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Updated: Oct 11, 2025

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Estimands-A Basic Element for Clinical Trials.

Moritz Pohl1, Lukas Baumann, Rouven Behnisch

  • 1Institute of Medical Biometry, University Hospital Heidelberg, Heidelberg, Germany.

Deutsches Arzteblatt International
|December 3, 2021
PubMed
Summary
This summary is machine-generated.

The estimand framework clarifies clinical trial treatment effects for better understanding and comparison. It systematically defines treatment effects, including handling intercurrent events, improving transparency for physicians and patients.

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Area of Science:

  • Clinical trial methodology
  • Biostatistics
  • Evidence-based medicine

Background:

  • Clinical trials are crucial for treatment evaluation but often lack transparency in defining treatment effects.
  • Physicians, patients, and health authorities require clear understanding of treatment efficacy.
  • The estimand framework was developed to address deficiencies in trial design and reporting.

Purpose of the Study:

  • To introduce and define the estimand framework for clinical trials.
  • To illustrate the application of the estimand framework using an example and literature review.
  • To enhance the clarity and interpretability of treatment effects in clinical research.

Main Methods:

  • The estimand framework systematically defines the treatment effect using five attributes: treatment, population, variable, summary measure, and handling of intercurrent events.
  • Intercurrent events (ICEs) are carefully considered and strategies for their handling are defined during trial planning.
  • The framework facilitates interdisciplinary discussions to align trial design with the clinical question.

Main Results:

  • The estimand framework provides a structured approach to defining the specific treatment effect under investigation.
  • It emphasizes the critical role of planning for intercurrent events, offering various handling strategies.
  • This framework supports alignment with principles like the intention-to-treat (ITT) but cautions against bias in per-protocol analyses.

Conclusions:

  • The estimand framework enhances the transparency and intelligibility of clinical trial results.
  • It empowers physicians and patients to better understand treatment efficacy and compare trial outcomes.
  • Systematic definition of estimands improves the overall quality and interpretability of clinical trial evidence.