BuyseRes-confint {BuyseTest} | R Documentation |
Computes confidence intervals for net benefit statistic or the win ratio statistic.
## S4 method for signature 'BuyseRes' confint(object, statistic = NULL, conf.level = NULL, alternative = NULL, method.boot = "percentile", transformation = NULL)
object |
|
statistic |
[character] the statistic summarizing the pairwise comparison:
|
conf.level |
[numeric] confidence level for the confidence intervals.
Default value read from |
alternative |
[character] the type of alternative hypothesis: |
method.boot |
[character] the method used to compute the boostrap confidence intervals and p-values.
Can be |
transformation |
[logical] should the CI be computed on the logit scale / log scale for the net benefit / win ratio and backtransformed.
Otherwise they are computed without any transformation.
Default value read from |
When using a permutation test, the uncertainty associated with the estimator is computed under the null hypothesis.
Thus the confidence interval may not be valid if the null hypothesis is false.
More precisely, the quantiles of the distribution of the statistic are computed under the null hypothesis and then shifted by the point estimate of the statistic.
Therefore it is possible that the limits of the confidence interval
are estimated outside of the interval of definition of the statistic (e.g. outside [-1,1] for the proportion in favor of treatment).
A matrix containing a column for the estimated statistic (over all strata),
the lower bound and upper bound of the confidence intervals, and the associated p-values.
When using resampling methods,
an attribute n.resampling
specified how many samples have been used to compute the confidence intervals and the p-values.
BuyseTest
for performing a generalized pairwise comparison.
BuyseRes-summary
for a more detailed presentation of the BuyseRes
object.