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  • Reproducibility in Biomedical Research: Epistemological and Statistical Problems

    Reproducibility in Biomedical Research by Montgomery Jr., Erwin B.;

    Epistemological and Statistical Problems

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      • Publisher's listprice EUR 109.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        45 207 Ft (43 055 Ft + 5% VAT)
      • Discount 10% (cc. 4 521 Ft off)
      • Discounted price 40 687 Ft (38 750 Ft + 5% VAT)

    45 207 Ft

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    Product details:

    • Publisher Elsevier Science
    • Date of Publication 18 March 2019

    • ISBN 9780128174432
    • Binding Paperback
    • No. of pages356 pages
    • Size 228x152 mm
    • Weight 540 g
    • Language English
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    Long description:

    Reproducibility in Biomedical Research: Epistemological and Statistical Problems explores the ideas and conundrums inherent in scientific research. It explores factors of reproducibility, including logic, distinguishing productive from unproductive irreproducibility, the scientific method, and the use of statistics. In multiple examples and six detailed case studies, the book demonstrates the misuse of logic resulting in unproductive irreproducibility, allowing researchers to develop their own logic and planning abilities. Biomedical researchers, clinicians, administrators of scientific institutions and funding agencies, journal editors, philosophers of science and medicine will find the arguments and explorations a valuable addition to their libraries.

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    Table of Contents:

    1. Introduction2. Validity of Biomedical Science, Reproducibility and Irreproducibility3. The Logic of Certainty versus the Logic of Discovery4. The Logic of Probability and Statistics5. Causation, Process Metaphor, and Reductionism6. Case Studies in Clinical Biomedical Research7. Case Studies in Basic Biomedical Research8. Case Studies in Computational Biomedical Research9. Chaotic and Complex Systems, Statistics, and Far-from-Equilibrium Thermodynamics10. Epilogue

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