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Clinical Trials: Overview

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 Trials

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.
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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.
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Related Experiment Video

Updated: Jun 2, 2026

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

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

Published on: September 20, 2019

Multistage and mixture parallel gatekeeping procedures in clinical trials.

Alex Dmitrienko¹, George Kordzakhia, Ajit C Tamhane

¹Eli Lilly and Company, Indianapolis, Indiana 46285, USA. dmitrienko_alex@lilly.com

Journal of Biopharmaceutical Statistics

|April 26, 2011

Summary

This study enhances gatekeeping procedures for clinical trials, improving statistical power in hypothesis testing. New methods offer greater efficiency than existing multistage approaches for hierarchical objectives.

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Published on: June 21, 2018

Area of Science:

Biostatistics
Clinical Trial Design
Statistical Inference

Background:

Multiplicity problems in clinical trials with hierarchical objectives require specialized statistical procedures.
Existing multistage parallel gatekeeping procedures offer a general framework for hypothesis testing.
Optimizing power while controlling Type I error is crucial in clinical trial analysis.

Purpose of the Study:

To investigate two novel classes of parallel gatekeeping procedures for clinical trials.
To develop more powerful gatekeeping procedures than existing multistage methods.
To explore methods for enhancing the power of multistage gatekeeping procedures.

Main Methods:

Utilizing the mixture method and closure principle for constructing parallel gatekeeping procedures.
Applying alpha-exhaustive tests to component procedures within multistage gatekeeping frameworks.
Extending developed methods to handle multiple families of hypotheses.

Main Results:

A class of parallel gatekeeping procedures derived using the closure principle demonstrates superior power compared to multistage procedures.
Employing alpha-exhaustive tests significantly improves the power of multistage gatekeeping procedures.
The proposed methods are applicable to both two-family and multiple-family hypothesis testing scenarios.

Conclusions:

The developed parallel gatekeeping procedures offer enhanced statistical power for clinical trials.
Improvements in gatekeeping procedures contribute to more efficient and effective clinical trial designs.
These advancements provide valuable tools for statistical analysis in hierarchical clinical trial settings.