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Related Experiment Video

Updated: Aug 11, 2025

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
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Diagnostic Strategies for Ruminant Populations.

Elizabeth Parker1

  • 1Department of Veterinary Preventive Medicine, The Ohio State University, 1920 Coffey Road, Columbus, OH 43210, USA.

The Veterinary Clinics of North America. Food Animal Practice
|February 2, 2023
PubMed
Summary
This summary is machine-generated.

Calculating appropriate sample size is crucial for veterinarians conducting disease investigations in animal populations. Understanding statistical elements ensures efficient resource allocation and maximizes study benefits while minimizing costs.

Keywords:
Cluster samplingConfidencePrecisionSample sizeSampling frameSampling unitVariance

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Area of Science:

  • Veterinary epidemiology
  • Animal health economics

Background:

  • Veterinary diagnostic investigations in ruminant populations face constraints in time, budget, and infrastructure.
  • Accurate disease assessment and understanding management impacts require careful study design.

Purpose of the Study:

  • To guide veterinarians in selecting optimal sample sizes for animal population studies.
  • To enhance the cost-effectiveness and efficiency of diagnostic investigations.

Main Methods:

  • Focus on the statistical principles underlying sample size calculations.
  • Emphasize the importance of considering study objectives and resource limitations.

Main Results:

  • Proper sample size determination maximizes the value of diagnostic investigations.
  • Efficient sampling strategies improve the assessment of disease prevalence and management factor effects.

Conclusions:

  • Veterinarians must grasp statistical concepts to determine appropriate sample sizes.
  • Optimized sample sizes are essential for successful and resource-efficient animal health studies.