GET THE APP

..

Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access

Esther Herberich


Germany

Publications
  • Research Article
    A Maximum-Type Association Test for Censored Time-to-Event Data
    Author(s): Esther Herberich and Ludwig A HothornEsther Herberich and Ludwig A Hothorn

    Background: Testing the association between a diallelic marker and a censored time-to-event trait is a specific problem in population-based association studies. For a certain gene, the mode of inheritance may be of particular interest. Therefore, the principle of maximum-type tests (or minimum p procedure) is modified for continuous traits, especially for censored time-to-event data. Results: We propose a Marcus-type multiple contrast test for a single censored time-to-event trait in a populationbased study assuming a Cox proportional hazard model. Using simulations we worked out the limitation of this asymptotic approach: sufficient sample sizes and non-rare alleles are required. A user-friendly implementation of this method is available in the survival and multcomp packages of the statistical software R. Conclusions: .. Read More»
    DOI: 10.4172/2155-6180.1000178

    Abstract PDF

Relevant Topics

Google Scholar citation report
Citations: 3254

Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report

Journal of Biometrics & Biostatistics peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward