escalation

Methods for working with dose-finding clinical trials. We provide implementations of many dose-finding clinical trial designs, including the continual reassessment method (CRM) by O'Quigley et al. (1990) doi:10.2307/2531628, the toxicity probability interval (TPI) design by Ji et al. (2007) doi:10.1177/1740774507079442, the modified TPI (mTPI) design by Ji et al. (2010) doi:10.1177/1740774510382799, the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) doi:10.1111/rssc.12089, EffTox by Thall & Cook (2004) doi:10.1111/j.0006-341X.2004.00218.x; the design of Wages & Tait (2015) doi:10.1080/10543406.2014.920873, and the 3+3 described by Korn et al. (1994) doi:10.1002/sim.4780131802. All designs are implemented with a common interface. We also offer optional additional classes to tailor the behaviour of all designs, including avoiding skipping doses, stopping after n patients have been treated at the recommended dose, stopping when a toxicity condition is met, or demanding that n patients are treated before stopping is allowed. By daisy-chaining together these classes using the pipe operator from 'magrittr', it is simple to tailor the behaviour of a dose-finding design so it behaves how the trialist wants. Having provided a flexible interface for specifying designs, we then provide functions to run simulations and calculate dose-paths for future cohorts of patients.

Last 30 days

This package has been downloaded 270 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 4,054 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 46 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.