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    Seminars

    On the use and misuse of p-values
    2017 Sep 25 (Mon), 10:30 AM
    中研院-統計所 2F 交誼廳
    茶 會:上午10:10統計所二樓交誼廳
    Professor Ying Lu
    Department of Health Research and Policy, Stanford University Stanford, USA

    Abstract

        This talk consists of two parts. In the first part of the talk, we examine and quantify p-value uncertainty and replication power and show that over-interpretation of significant p-values is an important factor contributing to the unexpectedly high incidence of non-replication in research. In the second part of the talk, we discuss why p-values are just “the tip of the iceberg” when it comes to non-replication of research findings and how common and accepted statistical practices, such as data-dependent analyses, as well as the researcher’s desire to find novel and statistically significant results make false positives vastly more likely than the nominal 5% significance level (i.e. a reported p-value < 0.05). This is a joint work with Drs. Lazzeroni and Belitskaya-Levy.


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    【Security & Privacy】