Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

To define sufficient subjects.

R G Nairn, T Morris

    The Australian and New Zealand Journal of Surgery
    |February 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    Determining the required number of subjects for research is achievable. Statistical power techniques can be adapted by defining significance levels and minimum meaningful experimental effects, considering variable nature and practical differences.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Causes and management of impaired gas exchange in critically ill patients.

    BJA education·2025
    Same author

    Association between sinonasal symptoms and epidural anaesthesia.

    Anaesthesia reports·2022
    Same author

    Improving pregnant women's diet and physical activity behaviours: the emergent role of health identity.

    BMC pregnancy and childbirth·2020
    Same author

    Why we continue to use the name Propionibacterium acnes.

    The British journal of dermatology·2018
    Same author

    An overview of the data obtained during the validation of an optimized MALDI-TOF MS Biotyper database for the identification of anaerobic bacteria.

    Data in brief·2018
    Same author

    Mental health and well-being in parents of excessively crying infants: Prospective evaluation of a support package.

    Child: care, health and development·2018
    Same journal

    The Experimental Application of Microsurgical Techniques to Internal Mammary to Coronary Artery Anastomosis.

    The Australian and New Zealand journal of surgery·2018
    Same journal

    The Use of Trimethoprim-Sulphamethoxazole in the Treatment of Complicated Urinary Tract Infection.

    The Australian and New Zealand journal of surgery·2018
    Same journal

    The Bairnsdale Ulcer.

    The Australian and New Zealand journal of surgery·2018
    Same journal

    Aorto-Caval Fistula: Successful Management of Two Cases.

    The Australian and New Zealand journal of surgery·2018
    Same journal

    Subdural Empyema.

    The Australian and New Zealand journal of surgery·2018
    Same journal

    Massive Ascites Due to Pancreatic Stones.

    The Australian and New Zealand journal of surgery·2018
    See all related articles

    Area of Science:

    • Biostatistics
    • Experimental Design

    Background:

    • Determining adequate sample size is crucial for research validity.
    • Existing statistical power methods offer a foundation for sample size calculation.

    Purpose of the Study:

    • To present a method for calculating the necessary number of subjects for an investigation.
    • To adapt statistical power techniques for sample size determination.

    Main Methods:

    • Utilizing established statistical power analysis techniques.
    • Defining significance level and minimum effect size of interest.
    • Considering factors such as dependent variable type and practical differences between conditions.

    Main Results:

    • A solvable approach to determining subject requirements for investigations.

    Related Experiment Videos

  • The adaptation of statistical power methods is feasible.
  • Identification of key factors influencing sample size decisions.
  • Conclusions:

    • Sample size determination is a critical aspect of experimental design.
    • Statistical power analysis provides a robust framework for this calculation.
    • Practical considerations, including effect size and variable nature, are essential for accurate sample size estimation.