View source: R/get_Table_rules.R
get_Table_rules | R Documentation |
Get table with summary of decision rules for phase I design (BOIN, Keyboard or i3+3 design)
get_Table_rules(
N,
phi,
phi1 = NULL,
phi2 = NULL,
maxtox,
halfkey = NULL,
design
)
N |
sample size |
phi |
target toxicity rate |
phi1 |
the highest DLT rate that is deemed subtherapeutic (i.e., underdosing), such that dose escalation should be made |
phi2 |
the lowest DLT rate that is deemed overly toxic (i.e., overdosing), such that dose de-escalation is required |
maxtox |
P(DLT rate>phi|c,n)<=maxtox as value for maxprob in |
halfkey |
half length of key in keyboard design |
design |
"BOIN" or "Keyboard" or "i3+3" |
a data.frame with elements
n: number of patients
E: max(observed DLTs) at n –> decision to escalate dose
R: range(observed DLTs) at n –> decision to retain dose
R: range(observed DLTs) at n –> decision to retain dose
lambda_e: if observed DLT rate<= lambda_e –> dose escalation
lambda_d: if observed DLT rate>= lambda_d –> dose de-escalation
Liu S, Yuan Y. Bayesian Optimal Interval Designs for Phase I Clinical Trials. J R Stat Soc Ser C Appl Stat. 2015;64:507–23
BOIN_table<-get_Table_rules(N=21,phi=0.3,phi1=0.6*0.3,phi2=1.4*0.3,maxtox=0.95,design="BOIN")
KEYB_table<-get_Table_rules(N=21,phi=0.3,maxtox=0.95,halfkey=0.05,design="Keyboard")
i33_table<-get_Table_rules(N=21,phi=0.3,phi1=0.6*0.3,phi2=1.4*0.3,maxtox=0.95,design="i3+3")
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