kkmann/cov19sim

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kkmann/cov19sim

kkmann

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agent-based simulation of covid-19 for small populations

adoptr

Adaptive optimal two-stage designs for clinical trials made easy.

workshop-r-swe

Website and materials of the workshop on GSWEP4R

describr

describr - publication quality descriptive tables with R

adoptr-validation-report

R markdown-based validation report for the package adoptr.

unblinded-sample-size-adaptation

Sample Size Recalculation, When and How? https://arxiv.org/abs/2010.06567

sample-size-calculation-under-uncertainty

Jupyter notebooks and companion shiny app for the manuscript 'A review of Bayesian perspectives on sample size derivation for confirmatory trials'.

Jupyter Notebook

pwcuratr

Curate gene pathway clusters using functional interactions

BinaryTwoStageDesigns

rmes

MVP for R package reliability knowledge-sharing protocol/platform

covid-19-screening-policies

Agent-based simulation results for school reopening policies during the Covid-19 pandemic.

reproducibleresearch

material for reproducible research workshop @IEEE DSAA 2018

mrc-bsu-presentation-template

xarigan-based HTML/PDF slides template

optimal-binary-two-stage-designs

Jupyter Notebook

farringtonManning

quick-and-not-dirty-report

A template repository for quickly hosting a HTML version of a single .Rmd file on GitHub pages and make the repository interacitvely explorable using mybinder.org