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  • Analysis of Epidemiologic Data Using R

    Analysis of Epidemiologic Data Using R by Hirsch, Robert;

    Series: Synthesis Lectures on Mathematics & Statistics;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 48.14
      • 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.

        19 966 Ft (19 015 Ft + 5% VAT)
      • Discount 20% (cc. 3 993 Ft off)
      • Discounted price 15 973 Ft (15 212 Ft + 5% VAT)

    19 966 Ft

    db

    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.

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    Table of Contents:

    Introduction to R.- Measures of Disease Frequency.- Measures of Association.- 2x2 Tables.- Life Tables.- Control of Confounding.

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