proportion (version 1.2.0)

pCOpBIALT: p-Confidence and p-Bias estimation for adjusted Logit-Wald method

Description

p-Confidence and p-Bias estimation for adjusted Logit-Wald method

Usage

pCOpBIALT(n, alp, h)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

h

- Adding factor

Value

A dataframe with

x1

Number of successes (positive samples)

pconf

p-Confidence

pbias

p-Bias

Details

Evaluation of adjusted Wald-type interval based on the logit transformation of p using p-confidence and p-bias for the $n + 1$ intervals

References

[1] 2005 Vos PW and Hudson S. Evaluation Criteria for Discrete Confidence Intervals: Beyond Coverage and Length. The American Statistician: 59; 137 - 142.

See Also

Other p-confidence and p-bias of adjusted methods: PlotpCOpBIAAS, PlotpCOpBIAAll, PlotpCOpBIALR, PlotpCOpBIALT, PlotpCOpBIASC, PlotpCOpBIATW, PlotpCOpBIAWD, pCOpBIAAS, pCOpBIAAll, pCOpBIALR, pCOpBIASC, pCOpBIATW, pCOpBIAWD

Examples

n=5; alp=0.05;h=2
pCOpBIALT(n,alp,h)