Nothing
scoreci()
:tdasci()
).Stheta = (p1hat - p2hat * theta) / p2d
(see Tang 2020)tdasci()
:scoreci()
corrected for distrib="poi".scoreci()
for calculation of stratum CIs with random=TRUE.scoreci()
for distrib = "poi" and contrast = "p" (#7).scaspci()
.rateci()
for closed-form calculation of continuity-corrected SCAS.scoreci()
for stratified zero scores calculated as NA, resulting in UL = 0. (Thanks to Lidia Mukina for reporting the bug.)scoreci()
for OR SCAS method (derived from Gart 1985).pairbinci()
.scaspci()
for non-iterative SCAS methods for single binomial or Poisson rate.rateci()
for selected methods for single binomial or Poisson rate.pairbinci()
for contrast="OR".moverci()
for contrast="p" and type="wilson".scoreci()
scoreci()
.pairbinci()
for all comparisons of paired binomial rates.scoreci()
.scoreci()
.scoreci()
output when stratified = TRUE.moverci()
.tdasci()
wrapper function.moverci()
.moverci()
to posterior median for type = "jeff",
to ensure consistent calculations with informative priors.Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.