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Inference for Proportions

In: Statistical Literacy for Clinical Practitioners

Author

Listed:
  • William H. Holmes

    (Le Moyne College)

  • William C. Rinaman

Abstract

An important goal in clinical research is estimating the proportion of a population who has a particular disease or who will acquire the disease over a given period of time, and identifying factors that are associated with the occurrence of the disease. This chapter reviews how confidence intervals and tests of hypotheses are used to estimate prevalence and incidence from sample data, and how various measures of association based on sample proportions—the difference between two proportions, relative risk and the odds ratio—are used to identify risk factors.

Suggested Citation

  • William H. Holmes & William C. Rinaman, 2014. "Inference for Proportions," Springer Books, in: Statistical Literacy for Clinical Practitioners, edition 127, chapter 6, pages 149-177, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-12550-3_6
    DOI: 10.1007/978-3-319-12550-3_6
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