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Study Guide To Epidemiology And Biostatistics - J. Richard Hebel - Bog

Bag om Study Guide To Epidemiology And Biostatistics

Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling study guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of a number of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; Meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; the use of propensity scoring to reduce bias in non-experimental studies.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781449604752
  • Indbinding:
  • Paperback
  • Sideantal:
  • 224
  • Udgivet:
  • 19. juli 2011
  • Udgave:
  • 7
  • Størrelse:
  • 151x228x19 mm.
  • Vægt:
  • 360 g.
  • 2-3 uger.
  • 21. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Study Guide To Epidemiology And Biostatistics

Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling study guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of a number of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; Meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; the use of propensity scoring to reduce bias in non-experimental studies.

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