There is an extensive literature dealing with inferences about the probability of success. A minor goal in this note is to point out when certain recommended methods can be unsatisfactory when the sample size is small. The main goal is to report results on the two-sample case. Extant results suggest using one of four methods. The results indicate when computing a 0.95 confidence interval, two of these methods can be more satisfactory when dealing with small sample sizes
Bayesian regression provides a flexible alternative to standard GLM, as it allows for more user cont...
The problem of estimating the probability of a rare event when the sample shows no incidence of the ...
Background: It is never easy to make sample size calculation for two-arm, non-inferiority st...
Confidence interval performance is typically assessed in terms of two criteria: coverage probability...
We provide statistical inference for measures of predictive success. These measures are frequently u...
We provide statistical inference for measures of predictive success. These measures are frequently u...
We provide statistical inference for measures of predictive success. These measures are frequently u...
Purpose: We consider ‘‘magnitude-based inference’’ and its interpretation by examining in detail its...
The completion rate – the proportion of participants who successfully complete a task – is a common ...
The validity of standard confidence intervals constructed in survey sampling is based on the central...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The completion rate – the proportion of participants who successfully complete a task – is a common ...
It is good scientific practice to the report an appropriate estimate of effect size and a confidence...
The probability coverage of intervals involving robust estimates of effect size based on seven proce...
Estimation of probabilities from empirical data samples has drawn close attention in the scientific ...
Bayesian regression provides a flexible alternative to standard GLM, as it allows for more user cont...
The problem of estimating the probability of a rare event when the sample shows no incidence of the ...
Background: It is never easy to make sample size calculation for two-arm, non-inferiority st...
Confidence interval performance is typically assessed in terms of two criteria: coverage probability...
We provide statistical inference for measures of predictive success. These measures are frequently u...
We provide statistical inference for measures of predictive success. These measures are frequently u...
We provide statistical inference for measures of predictive success. These measures are frequently u...
Purpose: We consider ‘‘magnitude-based inference’’ and its interpretation by examining in detail its...
The completion rate – the proportion of participants who successfully complete a task – is a common ...
The validity of standard confidence intervals constructed in survey sampling is based on the central...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The completion rate – the proportion of participants who successfully complete a task – is a common ...
It is good scientific practice to the report an appropriate estimate of effect size and a confidence...
The probability coverage of intervals involving robust estimates of effect size based on seven proce...
Estimation of probabilities from empirical data samples has drawn close attention in the scientific ...
Bayesian regression provides a flexible alternative to standard GLM, as it allows for more user cont...
The problem of estimating the probability of a rare event when the sample shows no incidence of the ...
Background: It is never easy to make sample size calculation for two-arm, non-inferiority st...