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Related Concept Videos

Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Sample Size Calculation01:19

Sample Size Calculation

Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number 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...
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...
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...

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Related Experiment Video

Updated: Jul 16, 2026

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

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

Published on: September 20, 2019

Methods of determining sample sizes in clinical trials.

L Jeyaseelan, P S Rao

    Indian Pediatrics
    |February 1, 1989
    PubMed
    Summary

    Determining the correct sample size is crucial for medical research, balancing statistical needs with practical and clinical factors. This paper explains the basis for sample size determination and offers useful tools for researchers.

    Area of Science:

    • Medical Research Methodology
    • Biostatistics

    Background:

    • Accurate sample size determination is critical for the validity and power of medical research.
    • Many researchers arbitrarily select sample sizes without rigorous statistical justification.
    • This oversight can lead to underpowered studies or inefficient resource allocation.

    Purpose of the Study:

    • To elucidate the fundamental principles behind sample size calculations in medical research.
    • To provide practical guidance and tools for researchers to determine appropriate sample sizes.
    • To emphasize the importance of balancing statistical, practical, and clinical considerations.

    Main Methods:

    • The paper reviews statistical concepts relevant to sample size estimation.
    • It discusses factors influencing sample size, such as effect size, power, and significance level.

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  • Practical considerations and common pitfalls in sample size determination are addressed.
  • Main Results:

    • Understanding the statistical basis allows for informed sample size decisions.
    • The paper introduces methods to calculate sample sizes for common research designs.
    • It highlights the need for a systematic approach rather than arbitrary selection.

    Conclusions:

    • Appropriate sample size is essential for robust medical research findings.
    • Researchers should carefully consider statistical, practical, and clinical factors.
    • Utilizing provided tools can enhance the rigor of study design and sample size planning.