Inference for Proportions

William H. Holmes () and William C. Rinaman ()
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William H. Holmes: Le Moyne College

Chapter 6 in Statistical Literacy for Clinical Practitioners, 2014, pp 149-177 from Springer

Abstract: 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.

Keywords: Cervical Cancer; Poor Health; Annual Household Income; Population Proportion; Desire Confidence Level (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-12550-3_6

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DOI: 10.1007/978-3-319-12550-3_6

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