| aip {UBCRM} | R Documentation |
Functions to calculate the appropriate dose level singletons
Description
Pool of functions to calculate dose level singletons values: aip, ail2 and ait2 calculate sgl in order that E[psy] = prior, ail1 and ait1 calculate sgl in order that psy(sgl,1) = prior.
Usage
aip(p_prior, sd = 1.34)
ait1(p_prior, a=1)
ail1(p_prior, a=1)
ait2(p_prior)
ail2(p_prior)
Arguments
p_prior |
Prior toxicity probability. |
sd |
Standard deviation in case of normal distribution for the parameter. |
a |
Rate in case of exponential distribution for the parameter. |
Value
Numeric length(p-prior)-vector.
Author(s)
Benjamin Esterni, Baboukar Mane. Unite de Biostatistique et de Methodologie, Institut Paoli-Calmettes, Marseille, France.
References
O'Quigley J., Pepe M., Fisher L. (1990). Continual Reassessment Method: a practical design for Phase I clinical trials in cancer. Biometrics 46, 33-48. <https://doi.org/10.2307/2531628>
O'Quigley J., Shen LZ. (1996). Continual Reassessment Method: a likelihood approach. Biometrics 52, 673-684. <https://doi.org/10.2307/2532905>
Paoletti X., Kramar A. (2009). A comparison of model choices for the Continual Reassessment Method in phase I cancer trials. Statistics in Medecine 28, 3012-3028. <https://doi.org/10.1002/sim.3682>
Chamorey Emmanuel. (2009). Methodologie des essais de phase precoce en cancerologie: evolution des schemas et apport de la pharmacologie. These.
Garret-Mayer Elizabeth. (2006). The Continual Reassessment Method for dose-finding studies: a tutorial. Clinical Trials: 57-71. <https://doi.org/10.1191/1740774506cn134oa>