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

Simple, defensible sample sizes based on cost efficiency.

Peter Bacchetti1, Charles E McCulloch, Mark R Segal

  • 1Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94143-0560, USA. peter@biostat.ucsf.edu

Biometrics
|May 17, 2008
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

Preferred Parental Language and Neurodevelopmental Outcomes Among Infants With Acute Provoked Neonatal Seizures in the United States.

Pediatric neurology·2025
Same author

Quantifying knee-adjacent subcutaneous fat in the entire OAI baseline dataset - Associations with cartilage MRI T<sub>2</sub>, thickness and pain, independent of BMI.

Osteoarthritis and cartilage·2025
Same author

Association between bariatric surgery after kidney transplantation and graft and survival outcomes.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2025
Same author

Association of polycystic ovary syndrome with endothelial health, cardiovascular risk, and cellular aging.

Fertility and sterility·2025
Same author

Characterizing Risk Factors for the Need for Kidney Replacement Therapy in Children After Discontinuation of Maintenance Dialysis.

Kidney international reports·2025
Same author

Multilevel intervention for follow-up of abnormal FIT in the safety-net: IMProving Adherence to Colonoscopy through Teams and Technology (IMPACTT).

Contemporary clinical trials·2025
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

This study introduces cost-efficient sample size selection methods, moving beyond traditional power calculations. These new approaches balance study value against costs for optimal resource allocation in research.

Area of Science:

  • Biostatistics
  • Research Methodology
  • Health Economics

Background:

  • Traditional sample size determination often overlooks cost-effectiveness.
  • Real-world research is constrained by budget limitations for investigators and funders.
  • The 80% power standard may not align with practical resource allocation.

Purpose of the Study:

  • To propose and justify novel sample size selection strategies based on cost efficiency.
  • To offer alternatives to conventional methods that ignore economic implications.
  • To optimize the ratio of projected study value to total cost.

Main Methods:

  • Defined cost efficiency as the ratio of projected study value to total cost.
  • Demonstrated diminishing marginal returns of study value with increasing sample size.

Related Experiment Videos

  • Proposed two cost-efficient sample size choices: minimizing average cost per subject or minimizing total cost divided by the square root of sample size.

    • Main Results:

    • The proposed methods offer defensible, more cost-efficient alternatives to larger sample sizes.
    • Minimizing average cost per subject is one cost-efficient strategy.
    • Minimizing total cost divided by the square root of sample size is theoretically superior for innovative studies and performs well generally.

    Conclusions:

    • The new sample size selection methods are practical, reliable, and well-justified.
    • These approaches provide acceptable alternatives to conventional power-based calculations.
    • Implementing cost-efficiency in sample size selection can lead to better resource utilization in research.