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

Calculating sample size bounds for logistic regression.

Susanne Broll1, Sabine Glaser, Lothar Kreienbrock

  • 1WHO-Collaborating Centre for Research and Training in Veterinary Public Health, School of Veterinary Medicine Hannover, Bünteweg 2, D-30559 Hannover, Germany. susanne.broll@tiho-hannover.de

Preventive Veterinary Medicine
|June 19, 2002
PubMed
Summary
This summary is machine-generated.

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

Environmental samples, a sensitive and practical alternative to individual bird sampling in the surveillance of H9N2 vaccinated turkey flocks.

The Journal of general virology·2026
Same author

Antimicrobial usage in broiler poultry farms in Zambia.

Frontiers in veterinary science·2026
Same author

Surveillance of antimicrobial resistance by a global network of WHO collaborating centres.

Bulletin of the World Health Organization·2026
Same author

Development of long-term antimicrobial resistance patterns of bovine mastitis pathogens in north-western Germany from 2005 to 2023.

Veterinary research communications·2026
Same author

Corrigendum to "Steam-Vacuum Treatment of Pig Carcass Surfaces" [J. Food Protect. 89(2) (2026) 100687].

Journal of food protection·2026
Same author

Steam-Vacuum Treatment of Pig Carcass Surfaces.

Journal of food protection·2025
Same journal

Knowledge, attitudes, and practices of Brazilian dairy farmers and technical advisors regarding antibiotic use and antimicrobial resistance.

Preventive veterinary medicine·2026
Same journal

Assessment of risk factors of bovine astrovirus and diarrhea in dairy farms of Northern India.

Preventive veterinary medicine·2026
Same journal

The "piroplasmosis-like" syndrome in cattle on Réunion Island: Spatial and temporal distribution of cases and clinical impact of co-infections.

Preventive veterinary medicine·2026
Same journal

Using individual lung ultrasonography at the group level to define treatment thresholds in large groups of calves for tailoring antimicrobial use: A simulation approach.

Preventive veterinary medicine·2026
Same journal

The effect of shadowed areas on smothering risk in three commercial free-range layer poultry farms, Australia 2019-2022.

Preventive veterinary medicine·2026
Same journal

Bovine Cysticercosis at a Municipal Abattoir: Occurrence, Risk Factors, Community Practices and Perceptions in Nakemte, Western Ethiopia.

Preventive veterinary medicine·2026
See all related articles

Calculating adequate sample size is crucial for epidemiological study validity. A simplified logistic regression method aids in determining sample size for studies, including veterinary epidemiology research.

Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Sample size calculation is vital for the validity of epidemiological studies.
  • Logistic regression is a common modeling technique in epidemiology.
  • Hsieh et al. proposed a simplified method for calculating sample size in multiple logistic regression models.

Purpose of the Study:

  • To describe a simplified method for sample size calculation in multiple logistic regression.
  • To apply this method in planning an epidemiological cross-sectional study.
  • To investigate risk factors associated with Toxoplasma infection in pregnant women.

Main Methods:

  • Utilized Hsieh et al.'s simplified method for sample size estimation.
  • Applied the method to a cross-sectional study design.
  • Focused on associations between risk factors and Toxoplasma infection.

Related Experiment Videos

Main Results:

  • The described method provides a useful tool for sample size calculation in epidemiological studies.
  • The approach was successfully applied in the planning phase of a specific study.
  • Acknowledged that the method requires certain data that may be challenging to obtain.

Conclusions:

  • The simplified logistic regression sample size method is a valuable tool for epidemiological research.
  • This method is particularly useful in veterinary epidemiology.
  • Despite data acquisition challenges, the method enhances study planning and validity.