Literature DB >> 2292367

Estimating familial effects on age at onset and liability to schizophrenia. II. Adjustment for censored data.

C J MacLean1, M C Neale, J M Meyer, K S Kendler.   

Abstract

Genetic studies of disorders with adult onset often contain individuals who have not completed their age at risk when last observed. Without correction for such censoring, correlation in ages at onset among relatives is substantially underestimated. Moreover, without correction for the effect of correlated ages at onset, the relationship between age at onset in the proband and liability in relatives is substantially overestimated. The present paper describes methods for correcting the effects of censoring on these estimates. In a companion paper [Kendler and MacLean, Genet Epidemiol 7:409-417, 1990] these methods are applied to a large family study of schizophrenia.

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Year:  1990        PMID: 2292367     DOI: 10.1002/gepi.1370070604

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  4 in total

1.  Assessing familial aggregation of age at onset, by using estimating equations, with application to breast cancer.

Authors:  L Hsu; L P Zhao
Journal:  Am J Hum Genet       Date:  1996-05       Impact factor: 11.025

Review 2.  Some recent developments for regression analysis of multivariate failure time data.

Authors:  K Y Liang; S G Self; K J Bandeen-Roche; S L Zeger
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

3.  Multivariate logistic regression for familial aggregation in age at disease onset.

Authors:  Abigail G Matthews; Dianne M Finkelstein; Rebecca A Betensky
Journal:  Lifetime Data Anal       Date:  2007-04-05       Impact factor: 1.429

4.  Second-Order Estimating Equations for Clustered Current Status Data from Family Studies Using Response-Dependent Sampling.

Authors:  Yujie Zhong; Richard J Cook
Journal:  Stat Biosci       Date:  2017-07-24
  4 in total

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