augbin_fit: Class used by 'trialr' to fit Wason & Seaman's Augmented...
In trialr: Clinical Trial Designs in 'rstan'
augbin_fit R Documentation
Class used by trialr to fit Wason & Seaman's Augmented Binary method.
Description
Class used by trialr to fit Wason & Seaman's Augmented Binary method.
Usage
augbin_fit(num_patients, tumour_size, non_shrinkage_failure, fit)
Arguments
num_patients
Integer, the number of patients analysed.
tumour_size
matrix-like object containing tumour size measures, with
rows representing patients and columns representing chronological
standardised assessment points. Column one is baseline.
non_shrinkage_failure
matrix-like object containing logical indicators
of non-shrinkage failure, with rows representing patients and columns
representing chronological standardised assessment points.
fit
An object of class stanfit,
containing the posterior samples.
References
Wason JMS, Seaman SR. Using continuous data on tumour measurements to improve
inference in phase II cancer studies.
Statistics in Medicine. 2013;32(26):4639-4650. doi:10.1002/sim.5867
Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation
criteria in solid tumours: Revised RECIST guideline (version 1.1).
European Journal of Cancer. 2009;45(2):228-247. doi:10.1016/j.ejca.2008.10.026
See Also
stan_augbin
trialr documentation built on April 1, 2023, 12:03 a.m.
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| augbin_fit | R Documentation |
Class used by trialr to fit Wason & Seaman's Augmented Binary method.
Description
Class used by trialr to fit Wason & Seaman's Augmented Binary method.
Usage
augbin_fit(num_patients, tumour_size, non_shrinkage_failure, fit)
Arguments
num_patients |
Integer, the number of patients analysed. |
tumour_size |
matrix-like object containing tumour size measures, with rows representing patients and columns representing chronological standardised assessment points. Column one is baseline. |
non_shrinkage_failure |
matrix-like object containing logical indicators of non-shrinkage failure, with rows representing patients and columns representing chronological standardised assessment points. |
fit |
An object of class |
References
Wason JMS, Seaman SR. Using continuous data on tumour measurements to improve inference in phase II cancer studies. Statistics in Medicine. 2013;32(26):4639-4650. doi:10.1002/sim.5867
Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1). European Journal of Cancer. 2009;45(2):228-247. doi:10.1016/j.ejca.2008.10.026
See Also
stan_augbin
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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