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

Genetic ascertainment with heterogeneous risk.

E A Murphy, D A Meyers, C A Rohde

    American Journal of Medical Genetics
    |July 1, 1987
    PubMed
    Summary

    This study presents a unified algebraic method to analyze ascertainment bias, improving upon traditional approaches. The new theory handles complex scenarios in genetics and other fields, offering more accurate distribution analysis.

    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

    Machine learning outperforms clinical experts in classification of hip fractures.

    Scientific reports·2022
    Same author

    The multiple effects of aspirin in prostate cancer patients.

    Cancer treatment and research communications·2020
    Same author

    Impact of 5 fluorouracil chemotherapy on gut inflammation, functional parameters, and gut microbiota.

    Brain, behavior, and immunity·2019
    Same author

    Complex association patterns for inflammatory mediators in induced sputum from subjects with asthma.

    Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2018
    Same author

    Leptin resistance elicits depressive-like behaviors in rats.

    Brain, behavior, and immunity·2016
    Same author

    Role of MCP-1 on inflammatory processes and metabolic dysfunction following high-fat feedings in the FVB/N strain.

    International journal of obesity (2005)·2015

    Area of Science:

    • Biostatistics
    • Statistical Genetics
    • Probability Theory

    Background:

    • Ascertainment bias is a common challenge in statistical analysis, particularly in genetic studies.
    • Traditional methods for analyzing ascertainment bias are often piecemeal and rely on restrictive assumptions.
    • A need exists for a more general and unifying theory to address complex ascertainment patterns.

    Purpose of the Study:

    • To develop a unifying theory for analyzing ascertainment bias.
    • To replace traditional, restrictive methods with a more general algebraic approach.
    • To accommodate complex and previously inadequately handled patterns of ascertainment.

    Main Methods:

    • Reformulation of ascertainment bias analysis.
    • Development of a compact algebraic method using the probability generating function (PGF).
    • Application of the method to classical and generalized ascertainment patterns.

    Main Results:

    • A unifying theory for ascertainment bias analysis is provided.
    • The method successfully analyzes distributions with heterogeneous segregation ratios (e.g., age-dependence).
    • It accommodates arbitrary ascertainment functions, even without independence assumptions.

    Conclusions:

    • The generalized theory offers a more robust framework for analyzing ascertainment bias.
    • Usable results are obtained for specific applications like age- or birth-order-dependent diseases.
    • The approach is applicable beyond human genetics, including areas like test batteries.

    Related Experiment Videos