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Related Concept Videos

Sample Size Calculation01:19

Sample Size Calculation

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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...
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Clinical Trials01:16

Clinical Trials

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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...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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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...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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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Margin of Error01:27

Margin of Error

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

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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: Mar 18, 2026

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
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Basic concepts for sample size calculation: Critical step for any clinical trials!

K K Gupta1, J P Attri2, A Singh1

  • 1Department of Anesthesiology and Intensive Care, GGS Medical College and Hospital, Faridkot, Punjab, India.

Saudi Journal of Anaesthesia
|July 5, 2016
PubMed
Summary
This summary is machine-generated.

Accurate clinical trial sample size calculation is crucial for reliable research outcomes. Underestimating or overestimating sample size can lead to flawed results, impacting study validity and approval.

Keywords:
Clinical trialpower of studysample size

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Area of Science:

  • Clinical Trials Methodology
  • Biostatistics in Medical Research

Background:

  • Clinical trial quality has improved, yet sample size calculation remains a critical area needing attention.
  • Inadequate sample size determination can compromise the integrity of research findings, leading to incorrect conclusions.

Purpose of the Study:

  • To emphasize the importance of accurate sample size calculation in clinical research.
  • To discuss the consequences of sample size underestimation and overestimation on study results.
  • To provide a foundational understanding of sample size calculation parameters for researchers.

Main Methods:

  • This review synthesizes current knowledge on sample size calculation in clinical trials.
  • It highlights key parameters and concepts essential for accurate estimation.
  • Examples are provided to illustrate practical application.

Main Results:

  • Proper sample size calculation is fundamental to the validity of clinical trial results.
  • Deviations from appropriate sample size can result in Type I or Type II errors.
  • A knowledge gap exists among many researchers, including anesthesiologists, regarding sample size estimation.

Conclusions:

  • Ensuring appropriate sample size is vital for the success and reliability of clinical trials.
  • Further education on sample size calculation is recommended for research professionals.
  • Accurate sample size planning prevents the rejection of true findings and the approval of false ones.