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Related Concept Videos

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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...
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...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
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...
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...

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Updated: May 13, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Omics-based clinical trial designs.

Marc Buyse1, Stefan Michiels

  • 1International Drug Development Institute, Louvain-la-Neuve, Belgium. marc.buyse@iddi.com

Current Opinion in Oncology
|March 12, 2013
PubMed
Summary
This summary is machine-generated.

Integrating -omics technologies into oncology clinical trial design is crucial. This review examines validation strategies for prognostic and predictive signatures, advocating for their integral role rather than add-ons.

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Area of Science:

  • Oncology
  • Genomics
  • Biomarker Discovery

Background:

  • -Omics technologies are increasingly used in oncology.
  • Derivation of signatures is integral to clinical trial design.

Purpose of the Study:

  • Investigate clinical trial designs for validating prognostic and predictive signatures.
  • Highlight pros and cons of clinical utility designs for prognostic signatures.
  • Review alternative procedures for testing treatment effects in subgroups for predictive signatures.

Main Methods:

  • Review of clinical trial designs.
  • Analysis of real-life breast cancer trial examples.
  • Discussion of adaptive signature designs and cross-validation techniques.

Main Results:

  • Clinical utility designs for prognostic signatures have advantages and disadvantages.
  • Current literature discourages certain signature-based strategy designs.
  • Adaptive designs offer a way to identify and validate signatures within a single trial.

Conclusions:

  • -Omics technologies should be integral to clinical trial design, not an add-on.
  • Validation of prognostic and predictive signatures requires careful consideration of trial design.
  • Adaptive signature designs show promise for efficient biomarker validation.