Calculates upper confidence limits for observed numbers of events using the Wilson Score method [1,2].
wilson_upper(x, n, confidence = 0.95)
the observed numbers of cases in the samples meeting the required condition; numeric vector; no default
the numbers of cases in the samples; numeric vector; no default
the required level of confidence expressed as a number between 0.9 and 1 or 90 and 100; numeric; default 0.95
Returns upper confidence limits for observed numbers of events using the Wilson Score method [1,2]
wilson_lower
and wilson_upper
together return symmetric confidence
intervals, therefore for a specified confidence level, \(\alpha\), the probability that, by chance, the upper limit returned
will be below the true underlying value, is \(\alpha\)/2.#'
[1] Wilson EB. Probable inference, the law of succession, and statistical inference. J Am Stat Assoc; 1927; 22. Pg 209 to 212. [2] Newcombe RG, Altman DG. Proportions and their differences. In Altman DG et al. (eds). Statistics with confidence (2nd edn). London: BMJ Books; 2000. Pg 46 to 48.
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