Literature DB >> 17924351

Estimating prevalence, false-positive rate, and false-negative rate with use of repeated testing when true responses are unknown.

Johanna Jakobsdottir, Daniel E Weeks.   

Abstract

Mesh:

Year:  2007        PMID: 17924351      PMCID: PMC2265647          DOI: 10.1086/521582

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


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  6 in total

1.  Numbers of copy-number variations and false-negative rates will be underestimated if we do not account for the dependence between repeated experiments.

Authors:  Andy G Lynch; John C Marioni; Simon Tavaré
Journal:  Am J Hum Genet       Date:  2007-08       Impact factor: 11.025

Review 2.  Evaluation of diagnostic tests without gold standards.

Authors:  S L Hui; X H Zhou
Journal:  Stat Methods Med Res       Date:  1998-12       Impact factor: 3.021

3.  Re: "Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard".

Authors:  S Andersen
Journal:  Am J Epidemiol       Date:  1997-02-01       Impact factor: 4.897

Review 4.  Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review.

Authors:  S D Walter; L M Irwig
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

5.  A comprehensive analysis of common copy-number variations in the human genome.

Authors:  Kendy K Wong; Ronald J deLeeuw; Nirpjit S Dosanjh; Lindsey R Kimm; Ze Cheng; Douglas E Horsman; Calum MacAulay; Raymond T Ng; Carolyn J Brown; Evan E Eichler; Wan L Lam
Journal:  Am J Hum Genet       Date:  2006-12-05       Impact factor: 11.025

6.  Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard.

Authors:  L Joseph; T W Gyorkos; L Coupal
Journal:  Am J Epidemiol       Date:  1995-02-01       Impact factor: 4.897

  6 in total

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