Software Hub
Open-source R packages and analytical tools implementing advanced biostatistical methods.
Continuous Time Correlation Decay
This app demonstrates the importance of accounting for continuous-time correlation decay, where this is the true correlation structure in the trial data. For more information see:
Kelsey L. Grantham, Jessica Kasza, Stéphane Héritier, Karla Hemming, Andrew Forbes (2019) Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment. Statistics in Medicine 38(11), 1918–1934.
Optimal CRXO designs
This app finds optimal experiment designs for cluster-randomized cross-over (CRXO) design trials. It was originally written as an R shiny app as part of:
Kelsey L. Grantham, Jessica Kasza, Stéphane Héritier, Karla Hemming, Edward Litton, Andrew Forbes (2019) How many times should a cluster randomized crossover trial cross over?. Statistics in Medicine 38(25), 5021–5033.