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

Statistical inferences for a twin correlation with multinomial outcomes.

E Bartfay1, A Donner

  • 1Department of Epidemiology and Biostatistics, The University of Western Ontario, London, Ontario, Canada.

Statistics in Medicine
|February 13, 2001
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

Self-Diffusion in Amorphous Silicon by Local Bond Rearrangements.

Physical review letters·2018
Same author

Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study.

Statistics in medicine·2013
Same author

[Endoscopic calcaneoplasty (ECP) in Haglund's syndrome. Indication, surgical technique, surgical findings and results].

Zeitschrift fur Orthopadie und Unfallchirurgie·2011
Same author

Impact of CONSORT extension for cluster randomised trials on quality of reporting and study methodology: review of random sample of 300 trials, 2000-8.

BMJ (Clinical research ed.)·2011
Same author

Plasma levels of vitamin E and carotenoids are decreased in patients with Nonalcoholic Steatohepatitis (NASH).

European journal of medical research·2011
Same author

Effectiveness of the family physician in hypertension screening and management.

Canadian family physician Medecin de famille canadien·2011

This study introduces two statistical methods for analyzing multinomial twin data, offering alternatives to collapsing categories. The goodness-of-fit approach is recommended for smaller twin study sample sizes.

Area of Science:

  • Biostatistics
  • Behavioral Genetics
  • Quantitative Psychology

Background:

  • Current statistical methods for twin studies primarily support continuous and dichotomous data.
  • Limited methodologies exist for analyzing multinomial data in twin studies, often leading to data collapse.
  • This necessitates the development of robust analytical approaches for multi-category outcomes in twin research.

Purpose of the Study:

  • To develop and evaluate two novel statistical approaches for assessing twin correlation with multinomial outcomes.
  • To provide valid analytical tools for researchers working with categorical genetic data.
  • To compare the performance of proposed methods for confidence interval construction.

Main Methods:

  • Development of a goodness-of-fit based approach for multinomial twin data analysis.

Related Experiment Videos

  • Development of a large sample normal theory-based approach for multinomial twin data.
  • Comparison of methods using Monte Carlo simulations for confidence interval accuracy.

    • Main Results:

    • Both developed methods are suitable for confidence interval construction with large sample sizes (>=100 twin pairs).
    • The goodness-of-fit procedure demonstrates superior validity in smaller sample sizes.
    • The study also discusses point estimation, hypothesis testing, and sample size estimation for multinomial twin studies.

    Conclusions:

    • The proposed methods offer valid alternatives for analyzing multinomial outcomes in twin studies.
    • The choice of method depends on sample size, with goodness-of-fit preferred for smaller samples.
    • These advancements enhance the analytical capabilities for genetic and environmental influence studies using twin data.