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  • - Exploring the Limits of Limited Data
    av Paul (University of British Columbia Gustafson
    725

    This book shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIM

  • - Impacts and Bayesian Adjustments
    av Paul (University of British Columbia Gustafson
    2 466,-

    Addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. This book explores both measurement error in continuous variables and misclassification in categorical variables. It is suitable for biostatisticians, epidemiologists, and students.

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