proportion (version 2.0.0)

ciCSC: Continuity corrected Score method of CI estimation

Description

Continuity corrected Score method of CI estimation

Usage

ciCSC(n, alp, c)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

c

- Continuity correction

Value

A dataframe with

x

Number of successes (positive samples)

LCS

Score Lower limit

UCS

Score Upper Limit

LABB

Score Lower Abberation

UABB

Score Upper Abberation

ZWI

Zero Width Interval

Details

A score test approach using the test statistic \((abs(phat-p)-c)/SE\) where \(c > 0\) is a constant for continuity correction for all \(x = 0, 1, 2 ..n\)

References

[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.

[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.

[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.

See Also

prop.test and binom.test for equivalent base Stats R functionality, binom.confint provides similar functionality for 11 methods, wald2ci which provides multiple functions for CI calculation , binom.blaker.limits which calculates Blaker CI which is not covered here and propCI which provides similar functionality.

Other Continuity correction methods of CI estimation: PlotciCAS, PlotciCAllg, PlotciCAll, PlotciCLT, PlotciCSC, PlotciCTW, PlotciCWD, ciCAS, ciCAll, ciCLT, ciCTW, ciCWD

Examples

n=5; alp=0.05;c=1/(2*n)
ciCSC(n,alp,c)