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Sample size for comparing correlated concordance rates.

Sample size for comparing correlated concordance rates. Research Abstract Details 

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  • Sample size for comparing correlated concordance rates. Abstract Text:

    sin-ho jungSin-Ho Jung,huiman x barnhartHuiman X Barnhart,insuk sohnInsuk Sohn,sandra s stinnettSandra S Stinnett,david k wallaceDavid K Wallace,

    We consider collecting the measurements of a gold standard and two methods with error from each site of subjects. We propose an asymptotic test statistic to compare the concordance rates of two methods with the gold standard and a closed-form sample size formula. Through simulations, we show that the test statistic accurately controls the type I error in small sample sizes, and the sample size formula accurately maintains the power in various settings. The proposed test statistic and the sample size formula can be easily modified for other indices for agreement such as sensitivity and specificity. A real eye study is taken as an example.

    Sample size for comparing correlated concordance rates. Publishing Authors By Initials

    sh jungSH Jung,hx barnhartHX Barnhart,i sohnI Sohn,ss stinnettSS Stinnett,dk wallaceDK Wallace,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Sample size for comparing correlated concordance rates. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Journal of biopharmaceutical statistics

    VOLUME: 18

    Page Numbers: 359-69

    Journal Abbreviation:

    ISSN: 1520-5711

    DAY: 10

    MONTH: 03

    YEAR: 2008

    Sample size for comparing correlated concordance rates. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9200436

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    Grant and Affiliation Information for Sample size for comparing correlated concordance rates.

    AFFILIATION: Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: J Biopharm Stat

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