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

Weighted normality-based estimator in correcting correlation coefficient estimation between incomplete nutrient

C Y Wang1

  • 1Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA. cywang@fhcrc.org

Biometrics
|April 28, 2000
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

[Role of red nucleus in inhibiting nociceptive responses of rat spindle afferent].

Sheng li xue bao : [Acta physiologica Sinica]·2001
Same author

Suppression of tumor necrosis factor-mediated apoptosis by nuclear factor kappaB-independent bone morphogenetic protein/Smad signaling.

The Journal of biological chemistry·2001
Same author

Colonoscopic manifestations of primary colorectal lymphoma.

Endoscopy·2001
Same author

Steroid allergy: report of two cases.

Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi·2001
Same author

A second deciduous molar impacted in right maxillary sinus: a long-term follow-up.

Chang Gung medical journal·2001
Same author

Metabolism of phenolic compounds during loquat fruit development.

Journal of agricultural and food chemistry·2001

Estimating nutrient correlation is challenging due to measurement errors. This study introduces a weighted normality-based estimator that accounts for selection bias and autoregressive errors, improving accuracy in dietary assessment studies.

Area of Science:

  • Nutritional epidemiology
  • Biostatistics
  • Dietary assessment methodology

Background:

  • Estimating correlation between nutrient intake measurements (e.g., from food frequency questionnaires and food records) is crucial for dietary assessment.
  • Classical models face attenuation bias when using sample averages of repeated measurements.
  • Selection probability dependent on measurement values and autoregressive error structures complicate correlation estimation.

Purpose of the Study:

  • To develop and evaluate methods for estimating the correlation between nutrient measurements under complex error structures and biased sampling.
  • To address attenuation bias in correlation estimation when using repeated dietary intake data.
  • To investigate the performance of a new weighted normality-based estimator.

Main Methods:

Related Experiment Videos

  • Investigated a normality-based estimator and compared it with the method of moments.
  • Applied joint estimating equations for simultaneous estimation of correlation and nuisance parameters.
  • Utilized a sandwich formula for covariance estimation.
  • Conducted simulation studies to examine finite sample performance.

Main Results:

  • Both normality-based and method of moments estimators are consistent if the first two moments exist.
  • Joint estimating equations provide a simple covariance estimation formula.
  • The proposed weighted normality-based estimator demonstrated good performance across various distributional assumptions in simulations.
  • Methods were successfully applied to real dietary assessment data.

Conclusions:

  • The weighted normality-based estimator offers an effective approach for correlation estimation in dietary studies with complex error structures and selection bias.
  • The proposed methods provide robust tools for analyzing nutritional data from calibration studies.
  • Accurate correlation estimation is vital for reliable dietary assessment and epidemiological research.