Literature DB >> 21720454

A consistent local linear estimator of the covariate adjusted correlation coefficient.

Danh V Nguyen1, Damla Sentürk.   

Abstract

Consider the correlation between two random variables (X, Y), both not directly observed. One only observes X̃ = φ(1)(U)X + φ(2)(U) and Ỹ = ψ(1)(U)Y + ψ(2)(U), where all four functions {φ(l)(·),ψ(l)(·), l = 1, 2} are unknown/unspecified smooth functions of an observable covariate U. We consider consistent estimation of the correlation between the unobserved variables X and Y, adjusted for the above general dual additive and multiplicative effects of U, based on the observed data (X̃, Ỹ, U).

Entities:  

Year:  2009        PMID: 21720454      PMCID: PMC3124279          DOI: 10.1016/j.spl.2009.04.021

Source DB:  PubMed          Journal:  Stat Probab Lett        ISSN: 0167-7152            Impact factor:   0.870


  2 in total

1.  Transcription of the FMR1 gene in individuals with fragile X syndrome.

Authors:  F Tassone; R J Hagerman; W D Chamberlain; P J Hagerman
Journal:  Am J Med Genet       Date:  2000

2.  Covariate adjusted correlation analysis with application to FMR1 premutation female carrier data.

Authors:  Damla Sentürk; Danh V Nguyen; Flora Tassone; Randi J Hagerman; Raymond J Carroll; Paul J Hagerman
Journal:  Biometrics       Date:  2009-01-23       Impact factor: 2.571

  2 in total

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