A Note on Improving Inference of Relative Risk - Open Journal of Statistics

OJS > Vol.9 No.1, February 2019

A Note on Improving Inference of Relative Risk ()

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DOI: 10.4236/ojs.2019.91009 638 Downloads 1,430 Views

Author(s)

Octavia C. Y. Wong

Affiliation(s)

School of Kinesiology and Health Science, York University, Toronto, Canada.

ABSTRACT

Relative risk is a popular measure to compare risk of an outcome in the exposed group to the unexposed group. By applying the delta method and Central Limit Theorem, [1] derives two approximate confidence intervals for the relative risk, and [2] approximates the confidence interval for the relative risk via the likelihood ratio statistic. Both of these approximations require sample size to be large. In this paper, by adjusting the likelihood ratio statistic obtained by [2], a new method is proposed to obtain the confidence interval for the relative risk. Simulation results showed that the proposed method is extremely accurate even when the sample size is small.

KEYWORDS

Bartlett Correction, Confidence Intervals, Coverage Property, Relative Risk

Share and Cite:

Wong, O. (2019) A Note on Improving Inference of Relative Risk. Open Journal of Statistics, 9, 100-108. doi: 10.4236/ojs.2019.91009.

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