Accurate interpretation of point estimates, confidence intervals, and hypothesis contrasts in public health

This essay reviews some statistical concepts frequently used in public health research that are commonly misinterpreted. These include point estimates, confidence intervals, and hypothesis tests. By comparing them using the classical and the Bayesian perspectives, their interpretation becomes cleare...

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Bibliographic Details
Published inSalud pública de México Vol. 45; no. 6; pp. 506 - 511
Main Authors Scotto, Manuel G, Tobías-Garcés, Aurelio
Format Journal Article
LanguageSpanish
Published Mexico 01.11.2003
Subjects
Bayes Theorem
Confidence Intervals
Data Interpretation, Statistical
Public Health - statistics & numerical data
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Summary:This essay reviews some statistical concepts frequently used in public health research that are commonly misinterpreted. These include point estimates, confidence intervals, and hypothesis tests. By comparing them using the classical and the Bayesian perspectives, their interpretation becomes clearer. The English version of this paper is available at:http://www.insp.mx/salud/index.html.
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ISSN:0036-3634