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Related Concept Videos

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...
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...
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...
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

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...
Preclinical Development: Overview01:28

Preclinical Development: Overview

Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
Bioavailability Study Design: Single Versus Multiple Dose Studies01:11

Bioavailability Study Design: Single Versus Multiple Dose Studies

Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...

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Related Experiment Video

Updated: May 19, 2026

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

Published on: September 20, 2019

What inference for two-stage phase II trials?

Raphaël Porcher1, Kristell Desseaux

  • 1Univ Paris Diderot, Sorbonne Paris Cité, Unité de Biostatistique et Epidémiologie Clinique, UMR-S717, Paris, F-75010, France. raphael.porcher@univ-paris-diderot.fr

BMC Medical Research Methodology
|August 8, 2012
PubMed
Summary
This summary is machine-generated.

For cancer phase II trials using Simon

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Oncology Research

Background:

  • Simon's two-stage designs are standard for phase II cancer trials.
  • These designs control statistical error rates during interim analyses.
  • Post-trial estimation methods require careful consideration.

Purpose of the Study:

  • To review and compare various statistical estimation methods for Simon's two-stage designs.
  • To evaluate estimators when actual patient accrual differs from the planned sample size.
  • To identify optimal approaches for point and confidence interval estimation.

Main Methods:

  • Comparison of uniformly minimum variance unbiased estimator (UMVUE) and bias-corrected estimators.
  • Evaluation of mid-p versus 'exact' confidence intervals.
  • Assessment of estimators for scenarios with differing actual versus planned sample sizes.
  • Analysis of conditional methods for trials proceeding to the second stage.

Main Results:

  • UMVUE and bias-corrected estimators performed well for planned sample sizes.
  • Mid-p confidence intervals showed coverage probabilities closer to nominal levels.
  • UMVUE performed comparably to specialized estimators when sample sizes varied.
  • A uniformly minimum variance conditional estimator (UMVCUE) is effective for second-stage analyses, even with slight sample size deviations.

Conclusions:

  • UMVUE is recommended for its robust performance with both planned and actual sample sizes.
  • UMVCUE is suitable for analyses conditional on proceeding to the second stage.
  • Restricting analysis when trials don't stop early for futility is valuable.