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

Design and analysis of qualitative collaborative studies: minimum collaborative program.

F D McClure1

  • 1Food and Drug Administration, Division of Mathematics, Washington, DC 20204.

Journal - Association of Official Analytical Chemists
|November 1, 1990
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

Microbiological Quality of Crabmeat During Processing.

Journal of food protection·2019
Same author

Comparison of Selective Plating Media for Enumeration of Bacillus cereus in Foods.

Journal of food protection·2019
Same author

Microbiological Quality of Breaded Shrimp During Processing.

Journal of food protection·2019
Same author

Procedures for estimating confidence intervals for selected method performance parameters.

Journal of AOAC International·2001
Same author

A statistical model to evaluate analyte homogeneity for a material.

Journal of AOAC International·2001
Same author

A statistical evaluation of the Youden Matched-Pairs Procedure.

Journal of AOAC International·1999
Same journal

GC/MIP/AED method for pesticide residue determination in fruits and vegetables.

Journal - Association of Official Analytical Chemists·1991
Same journal

Separation and determination of diesel contaminants in various fish products by capillary gas chromatography.

Journal - Association of Official Analytical Chemists·1991
Same journal

Analysis of organochlorine pesticide residues using simultaneous injection of two capillary columns with electron capture and electrolytic conductivity detectors.

Journal - Association of Official Analytical Chemists·1991
Same journal

Improved method for determination of polynuclear aromatic hydrocarbons in pharmacopoeial paraffin and mineral oils.

Journal - Association of Official Analytical Chemists·1991
Same journal

Monitoring aldehyde production during frying by reversed-phase liquid chromatography.

Journal - Association of Official Analytical Chemists·1991
Same journal

Use of the Mycosep multifunctional cleanup column for liquid chromatographic determination of aflatoxins in agricultural products.

Journal - Association of Official Analytical Chemists·1991
See all related articles

This study introduces new methods for analyzing qualitative data in collaborative studies, accounting for sample matching between laboratories. It provides guidance on study design and performance assessment, improving accuracy in method evaluation.

Area of Science:

  • Laboratory science
  • Statistical analysis
  • Collaborative testing

Background:

  • Qualitative collaborative studies often face design constraints, limiting their effectiveness.
  • Current analysis methods may overlook the inherent matching in collaborative study designs.
  • This leads to potential inaccuracies in evaluating method performance.

Purpose of the Study:

  • To present design considerations and analysis procedures for qualitative collaborative studies that incorporate matching.
  • To offer guidance on optimal numbers of laboratories and test samples for minimal programs.
  • To detail outlier screening and method performance assessment, including error estimation.

Main Methods:

  • Development of statistical models accounting for matched sample designs in qualitative studies.

Related Experiment Videos

  • Procedures for outlier detection and screening within collaborative testing frameworks.
  • Calculation and error estimation for performance indicators like sensitivity and specificity.

    • Main Results:

    • The proposed methods effectively analyze matched qualitative data, addressing limitations of existing approaches.
    • Guidelines for minimum collaborative program size (laboratories and samples) are provided.
    • Accurate estimation of false positive and false negative rates for practical lot defect scenarios is demonstrated.

    Conclusions:

    • The presented design and analysis framework enhances the rigor of qualitative collaborative studies.
    • Accurate assessment of method performance indicators is achievable even with matched data.
    • This approach improves the reliability of results in interlaboratory comparisons for qualitative methods.