Currently serving26341packages,22657articles, and64225datasets by1265organizations,13662 maintainers and22192 contributors.
vimc
lcbc-uio
stan-dev
pharmaverse
r-spatial
tidyverse
ropengov
rstudio
r-lib
ropensci
bioc
r-forge
kwb-r
pik-piam
hypertidy
poissonconsulting
mrc-ide
pecanproject
tidymodels
insightsengineering
thinkr-open
mlr-org
inbo
ohdsi
ggseg
modeloriented
paws-r
predictiveecology
ropenspain
flr
sciviews
bnosac
openvolley
rmi-pacta
mrcieu
repboxr
epiverse-trace
nlmixr2
yulab-smu
frbcesab
ices-tools-prod
riatelab
azure
statnet
mlverse
bips-hb
appsilon
rjdverse
epiforecasts
cloudyr
tmsalab
usaid-oha-si
dreamrs
hubverse-org
bupaverse
openpharma
usepa
merck
business-science
ambiorix-web
darwin-eu
easystats
certe-medical-epidemiology
coatless-rpkg
nutriverse
rikenbit
hugheylab
spatstat
rsquaredacademy
uscbiostats
bluegreen-labs
r-dbi
traitecoevo
ipeagit
cogdisreslab
gesistsa
rspatial
reconhub
ocbe-uio
epicentre-msf
data-cleaning
biometris
aus-doh-safety-and-quality
terminological
ctu-bern
ifpri
apache
nflverse
humaniverse
tlverse
a2-ai
mazamascience
cynkra
piecepackr
framverse
atsa-es
Want to learn more about r-universe? Have a look atropensci.org/r-universeor updates from the rOpenSci blog:
Showing 1 of total 1 results (show query)
cran
Computation of stopping boundaries for a single-arm trial using a Bayesian criterion; i.e., for each m<=n (n= total patient number of the trial) the smallest number of observed toxicities is calculated leading to the termination of the trial/accrual according to the specified criteria. The probabilities of stopping the trial/accrual at and up until (resp.) the m-th patient (m<=n) is also calculated. This design is more conservative than the frequentist approach (using Clopper Pearson CIs) which might be preferred as it concerns safety.See also Aamot et.al.(2010) "Continuous monitoring of toxicity in clinical trials - simulating the risk of stopping prematurely" <doi:10.5414/cpp48476>.
Maintained by Lisa-Marie Lanz. Last updated 3 years ago.