Literature DB >> 9801021

A new method for estimating the risk ratio in studies using case-parental control design.

F Sun1, W D Flanders, Q Yang, M J Khoury.   

Abstract

The authors describe a new simple noniterative, yet efficient method to estimate the risk ratio in studies using case-parental control design. The new method is compared with two other noniterative methods, Khoury's method and Flanders and Khoury's method, and with a maximum likelihood-based method of Schaid and Sommer. The authors found that the variance of the new estimation method is usually smaller than that of Khoury's method or Flanders and Khoury's method and that it is slightly larger than that of the maximum likelihood-based method of Schaid and Sommer. Despite the slightly large variance of the new estimator compared with that of the maximum likelihood-based method, the simplicity of the new estimator and its variance makes the new method appealing. When genotypic information for only one parent is available, the authors also describe a method to estimate the risk ratio without assuming Hardy-Weinberg equilibrium or random mating. A simple formula for the variance of the estimator is given.

Mesh:

Year:  1998        PMID: 9801021     DOI: 10.1093/oxfordjournals.aje.a009716

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  3 in total

1.  Allowing for missing parents in genetic studies of case-parent triads.

Authors:  C R Weinberg
Journal:  Am J Hum Genet       Date:  1999-04       Impact factor: 11.025

2.  Bootstrap calibration of TRANSMIT for informative missingness of parental genotype data.

Authors:  Andrew S Allen; Julianne S Collins; Paul J Rathouz; Craig L Selander; Glen A Satten
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

Review 3.  Benchmarking statistical methods for analyzing parent-child dyads in genetic association studies.

Authors:  Debashree Ray; Candelaria Vergara; Margaret A Taub; Genevieve Wojcik; Christine Ladd-Acosta; Terri H Beaty; Priya Duggal
Journal:  Genet Epidemiol       Date:  2022-04-22       Impact factor: 2.344

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.