curtailment - Finds Binary Outcome Designs Using Stochastic Curtailment
Finds single- and two-arm designs using stochastic
curtailment, as described by Law et al. (2022)
<doi:10.1080/10543406.2021.2009498> and Law et al. (2021)
<doi:10.1002/pst.2067> respectively. Designs can be
single-stage or multi-stage. Non-stochastic curtailment is
possible as a special case. Desired error-rates, maximum sample
size and lower and upper anticipated response rates are
inputted and suitable designs are returned with operating
characteristics. Stopping boundaries and visualisations are
also available. The package can find designs using other
approaches, for example designs by Simon (1989)
<doi:10.1016/0197-2456(89)90015-9> and Mander and Thompson
(2010) <doi:10.1016/j.cct.2010.07.008>. Other features: compare
and visualise designs using a weighted sum of expected sample
sizes under the null and alternative hypotheses and maximum
sample size; visualise any binary outcome design.