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

Quantifying uncertainty: calculating interval estimates using quality control results.

J A Schofield1, K Miller, L Blume

  • 1DynCorp, Systems and Solutions, LLC, 6101 Stevenson Avenue, Alexandria, VA 22304, USA. judy.schofield@dyncorp.com

Quality Assurance (San Diego, Calif.)
|January 30, 2003
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

The cost-effectiveness and cost-utility of high-dose palliative radiotherapy for advanced non-small-cell lung cancer.

International journal of radiation oncology, biology, physics·2000
Same author

Imaging modalities in Peyronie's disease. An intrapersonal comparison of ultrasound sonography, X-ray in mammography technique, computerized tomography, and nuclear magnetic resonance in 20 patients.

European urology·1998
Same author

Serum concentrations of soluble adhesion molecules in patients with colorectal cancer.

British journal of cancer·1998
Same author

[Concentration of copper and ceruloplasmin in serum of patients treated for epilepsy].

Wiadomosci lekarskie (Warsaw, Poland : 1960)·1998
Same author

[Depression in epileptic patients with and without history of suicidal attempts: preliminary report].

Psychiatria polska·1998
Same author

Aromatic hydrocarbon receptor polymorphism: development of new methods to correlate genotype with phenotype.

Environmental health perspectives·1998
Same journal

Peer Review as a QA Tool in Environmental Applications.

Quality assurance (San Diego, Calif.)·2006
Same journal

The use of double anonymity in peer review: a decision whose time has come?

Quality assurance (San Diego, Calif.)·2006
Same journal

Major issues in quality assessment and improvement of clinical hyperbaric services: an international perspective.

Quality assurance (San Diego, Calif.)·2006
Same journal

Evaluation of customer satisfaction level of different projects.

Quality assurance (San Diego, Calif.)·2006
Same journal

Establishing tolerance levels for customer complaints.

Quality assurance (San Diego, Calif.)·2006
Same journal

The historical impact of ISO 9000 on Lebanese firms.

Quality assurance (San Diego, Calif.)·2005
See all related articles

The Lake Michigan Mass Balance Study monitored pollutants to create models for managing toxic substances. Quality assurance and uncertainty assessments were crucial for reliable environmental decision-making.

Area of Science:

  • Environmental Science
  • Ecosystem Studies
  • Toxicology

Background:

  • The Great Lakes National Program Office (GLNPO) initiated an extensive study of the Lake Michigan ecosystem.
  • Understanding pollutant loads and their environmental fate is critical for ecosystem health.

Purpose of the Study:

  • To construct mass balance models for key contaminants (PCBs, atrazine, mercury, trans-nonachlor) in Lake Michigan.
  • To develop a tool for evaluating management strategies and control options for toxic substances.
  • To address the uncertainty inherent in environmental measurements for informed decision-making.

Main Methods:

  • Coordinated monitoring of tributary and atmospheric pollutant loads.
  • Development of source inventories for toxic substances.

Related Experiment Videos

  • Application of mathematical mass balance modeling.
  • Implementation of comprehensive quality assurance (QA) activities.
  • Main Results:

    • Established a framework for assessing data quality at the dataset level.
    • Developed quantitative methods for defining data quality.
    • Pioneered approaches for deriving interval estimates to represent uncertainty in sample results.

    Conclusions:

    • Mass balance models provide a robust tool for environmental management decisions.
    • Explicitly addressing and quantifying data uncertainty is essential for effective policy-making.
    • The study provides a foundation for ongoing toxic substance control in Lake Michigan.