Literature DB >> 8751874

A pseudolikelihood approach to correcting for ascertainment bias in family studies.

D Rabinowitz1.   

Abstract

The Cannings and Thompson approach to correcting for ascertainment bias in family studies is extended to settings with multiple ascertainment. The extension is based on maximizing a pseudolikelihood. Two approaches to computing standard errors for the maximum pseudolikelihood estimate are described. One is especially simple to compute, while the other is more generally applicable. Simulation experiments suggest that the standard-error computations can be quite accurate.

Mesh:

Year:  1996        PMID: 8751874      PMCID: PMC1914909     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  9 in total

1.  Conditioning on subsets of the data: applications to ascertainment and other genetic problems.

Authors:  S E Hodge
Journal:  Am J Hum Genet       Date:  1988-10       Impact factor: 11.025

2.  A resolution of the ascertainment sampling problem. II. Generalizations and numerical results.

Authors:  N C Shute; W J Ewens
Journal:  Am J Hum Genet       Date:  1988-10       Impact factor: 11.025

3.  A note on Cannings and Thompson's sequential sampling scheme for pedigrees.

Authors:  S E Hodge; M Boehnke
Journal:  Am J Hum Genet       Date:  1986-08       Impact factor: 11.025

4.  Sampling considerations in the gathering and analysis of pedigree data.

Authors:  R C Elston; E Sobel
Journal:  Am J Hum Genet       Date:  1979-01       Impact factor: 11.025

5.  Ascertainment in the sequential sampling of pedigrees.

Authors:  C Cannings; E A Thompson
Journal:  Clin Genet       Date:  1977-10       Impact factor: 4.438

6.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

7.  'Twixt cup and lip: how intractable is the ascertainment problem?

Authors:  R C Elston
Journal:  Am J Hum Genet       Date:  1995-01       Impact factor: 11.025

8.  Inherent intractability of the ascertainment problem for pedigree data: a general likelihood framework.

Authors:  V J Vieland; S E Hodge
Journal:  Am J Hum Genet       Date:  1995-01       Impact factor: 11.025

9.  The effects of conditioning on probands to correct for multiple ascertainment.

Authors:  M Boehnke; D A Greenberg
Journal:  Am J Hum Genet       Date:  1984-11       Impact factor: 11.025

  9 in total
  2 in total

1.  Classification of Missense Mutations of Disease Genes.

Authors:  Xi Zhou; Edwin S Iversen; Giovanni Parmigiani
Journal:  J Am Stat Assoc       Date:  2005       Impact factor: 5.033

2.  Estimation of genotype relative risks from pedigree data by retrospective likelihoods.

Authors:  Daniel J Schaid; Shannon K McDonnell; Shaun M Riska; Erin E Carlson; Stephen N Thibodeau
Journal:  Genet Epidemiol       Date:  2010-05       Impact factor: 2.135

  2 in total

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