S4BuysePower-summary | R Documentation |
Summarize the results from the powerBuyseTest
function.
## S4 method for signature 'S4BuysePower'
summary(
object,
print = TRUE,
statistic = NULL,
endpoint = NULL,
order.Hprojection = NULL,
transformation = NULL,
legend = TRUE,
col.rep = FALSE,
digit = 4
)
object |
output of |
print |
[logical] Should the table be displayed?. |
statistic |
[character] statistic relative to which the power should be computed:
|
endpoint |
[character vector] the endpoints to be displayed: must be the name of the endpoint followed by an underscore and then by the threshold. |
order.Hprojection |
[integer 1,2] the order of the H-project to be used to compute the variance of the net benefit/win ratio. |
transformation |
[logical] should the CI be computed on the logit scale / log scale for the net benefit / win ratio and backtransformed. |
legend |
[logical] should explainations about the content of each column be displayed? |
col.rep |
[logical] should the number of successful simulations be displayed? |
digit |
[integer vector] the number of digit to use for printing the counts and the delta. |
Brice Ozenne
On the GPC procedure: Marc Buyse (2010). Generalized pairwise comparisons of prioritized endpoints in the two-sample problem. Statistics in Medicine 29:3245-3257
On the win ratio: D. Wang, S. Pocock (2016). A win ratio approach to comparing continuous non-normal outcomes in clinical trials. Pharmaceutical Statistics 15:238-245
On the Mann-Whitney parameter: Fay, Michael P. et al (2018). Causal estimands and confidence intervals asscoaited with Wilcoxon-Mann-Whitney tests in randomized experiments. Statistics in Medicine 37:2923-2937 \
powerBuyseTest
for performing a simulation study for generalized pairwise comparison.
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