The behavior of the Wald-z, Wald-c, Quesenberry-Hurst, Wald-m and Agresti-Min methods was investigated for matched proportions confidence intervals. It was concluded that given the widespread use of the repeated-measure design, pretest-posttest design, matched-pairs design, and cross-over design, the textbook Wald-z method should be abandoned in favor of the Agresti-Min alternative
In this paper we will discuss the meta-analysis of one low proportion. It is well known, that there ...
Matched-pair design is often adopted in equivalence or non-inferiority trials to increase the effici...
Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paire...
The behavior of the Wald-z, Wald-c, Quesenberry-Hurst, Wald-m and Agresti-Min methods was investigat...
Wald-z asymptotic methods, with and without a continuity correction, have less than nominal coverage...
Adjusted Wald intervals for binomial proportions in one-sample and two-sample designs have been show...
We propose a new adjustment for constructing an improved version of theWald interval for linear com...
The construction of a confidence interval for a binomial parameter is a basic analysis in statistica...
Unconditional confidence intervals (CIs) for the difference between marginal proportions in matched ...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p^...
Purpose It is generally agreed that a confidence interval (CI) is usually more informative than a po...
We revisit the problem of interval estimation of a binomial proportion. The erratic behavior of the ...
Purpose It is generally agreed that a confidence interval (CI) is usually more informative than a po...
The Wald interval is easy to calculate; it is often used as the confidence interval for binomial pro...
Confidence intervals for multinomial proportions are often constructed using large-sample methods th...
In this paper we will discuss the meta-analysis of one low proportion. It is well known, that there ...
Matched-pair design is often adopted in equivalence or non-inferiority trials to increase the effici...
Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paire...
The behavior of the Wald-z, Wald-c, Quesenberry-Hurst, Wald-m and Agresti-Min methods was investigat...
Wald-z asymptotic methods, with and without a continuity correction, have less than nominal coverage...
Adjusted Wald intervals for binomial proportions in one-sample and two-sample designs have been show...
We propose a new adjustment for constructing an improved version of theWald interval for linear com...
The construction of a confidence interval for a binomial parameter is a basic analysis in statistica...
Unconditional confidence intervals (CIs) for the difference between marginal proportions in matched ...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p^...
Purpose It is generally agreed that a confidence interval (CI) is usually more informative than a po...
We revisit the problem of interval estimation of a binomial proportion. The erratic behavior of the ...
Purpose It is generally agreed that a confidence interval (CI) is usually more informative than a po...
The Wald interval is easy to calculate; it is often used as the confidence interval for binomial pro...
Confidence intervals for multinomial proportions are often constructed using large-sample methods th...
In this paper we will discuss the meta-analysis of one low proportion. It is well known, that there ...
Matched-pair design is often adopted in equivalence or non-inferiority trials to increase the effici...
Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paire...