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  1. 1
    Use of copula to model within‐study association in bivariate meta‐analysis of binomial data at the aggregate level: A Bayesian approach and application to surrogate endpoint evaluation

    Use of copula to model within‐study association in bivariate meta‐analysis of binomial data at the aggregate level: A Bayesian approach and application to surrogate endpoint evalua... von Papanikos, Tasos, Thompson, John R., Abrams, Keith R., Bujkiewicz, Sylwia

    Veröffentlicht in Statistics in medicine

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  2. 2
    Bayesian hierarchical meta‐analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data

    Bayesian hierarchical meta‐analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data von Papanikos, Tasos, Thompson, John R., Abrams, Keith R., Städler, Nicolas, Ciani, Oriana, Taylor, Rod, Bujkiewicz, Sylwia

    Veröffentlicht in Statistics in medicine

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  3. 3
    Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level a Bayesian approach and application to surrogate endpoint evaluation

    Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level a Bayesian approach and application to surrogate endpoint evaluat... von Papanikos, Tasos, Thompson, John R, Abrams, Keith R, Bujkiewicz, Sylwia

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  4. 4
    Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level a Bayesian approach and application to surrogate endpoint evaluation

    Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level a Bayesian approach and application to surrogate endpoint evaluat... von Papanikos, Tasos, Thompson, John R, Abrams, Keith R, Bujkiewicz, Sylwia

    Veröffentlicht in arXiv.org

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  5. 5
    A Bayesian hierarchical meta-analytic method for modelling surrogate relationships that vary across treatment classes using aggregate data

    A Bayesian hierarchical meta-analytic method for modelling surrogate relationships that vary across treatment classes using aggregate data von Papanikos, Tasos, Thompson, John, Abrams, Keith, Staedler, Nicolas, Ciani, Oriana, Taylor, Rod, Bujkiewicz, Sylwia

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  6. 6
    A Bayesian hierarchical meta-analytic method for modelling surrogate relationships that vary across treatment classes using aggregate data

    A Bayesian hierarchical meta-analytic method for modelling surrogate relationships that vary across treatment classes using aggregate data von Papanikos, Tasos, Thompson, John, Abrams, Keith, Staedler, Nicolas, Ciani, Oriana, Taylor, Rod, Bujkiewicz, Sylwia

    Veröffentlicht in arXiv.org

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