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Updated: Feb 7, 2026

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Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
Published on: December 16, 2016
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Tamaño de muestra de protocolos clínicos
1Secretaría de Salud, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Unidad de Epidemiología Clínica, Ciudad de México, México.
Summary
Accurate sample size calculation is crucial for clinical trials. This study identifies common errors in sample size determination and outlines essential data for robust clinical protocol design.
Area of Science:
- Clinical Research Methodology
- Biostatistics
- Drug Development
Background:
- Sample size calculation is a critical step in clinical trial protocol development.
- Common issues include insufficient data, outdated formulas, and inappropriate equation selection.
- These errors can compromise study validity and statistical power.
Purpose of the Study:
- To identify and address common problems in sample size calculations for clinical protocols.
- To define the essential data required for accurate sample size determination.
- To improve the quality of clinical trial protocols submitted for review.
Main Methods:
- Review of clinical protocols submitted to the institutional review board.
- Analysis of common errors in sample size calculation methodologies.
- Identification of key parameters for sample size determination in superiority and non-inferiority trials.
Main Results:
- Frequent issues identified: insufficient data, use of obsolete equations (ignoring beta error), and incorrect equation selection based on study design.
- Four essential data points are identified for inclusion in clinical protocols.
- Guidelines provided for superiority (drug vs. placebo) and non-inferiority (drug vs. active control) trials.
Conclusions:
- Addressing common sample size calculation errors is vital for clinical trial integrity.
- Standardizing the inclusion of four key data points will enhance protocol quality.
- Accurate sample size determination ensures reliable and valid research findings.
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