An SPSS Macro to Compute Confidence Intervals for Pearson’s Correlation

A Method to Compute Multiplicity Corrected Confidence Intervals for Odds Ratios and Other Relative Effect Estimates

Epidemiological studies commonly test multiple null hypotheses. In some situations it may be appropriate to account for multiplicity using statistical methodology rather than simply interpreting results with greater caution as the number of comparisons increases. Given the one-to-one relationship that exists between confidence intervals and hypothesis tests, we derive a method based upon the Ho...

A SAS® Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions

When comparing two proportions, it is often desirable to have more information than simply the p-value from a hypothesis test. The SAS® procedure FREQ provides both an approximate and an exact p-value, as well as an approximate confidence interval for the ratio of the two proportions. Calculation of the difference of two proportions and any confidence interval for this difference, however, must...

Confidence Intervals for Intraclass Correlation in Inter-Rater Reliability

AbstractCalculation of a confidence interval for intraclass correlation to assess inter-rater reliability is problematic when the number of raters is small and the rater effect is not negligible. Intervals produced by existing methods are uninformative: the lower bound is often close to zero, even in cases where the reliability is good and the sample size is large. In this paper, we show that t...

An Adaptation Theory for Nonparametric Confidence Intervals

A nonparametric adaptation theory is developed for the construction of confidence intervals for linear functionals. A between class modulus of continuity captures the expected length of adaptive confidence intervals. Sharp lower bounds are given for the expected length and an ordered modulus of continuity is used to construct adaptive confidence procedures which are within a constant factor of ...

The Delta Method to Compute Confidence Intervals of Predictions from Discrete Choice Model: An Application to Commute Mode Choice Model