vtInterim {visit} | R Documentation |
Conduct interim analysis
Description
Conduct an interim analysis for determining dose escalation actions
Usage
vtInterim(cur.obs.y, prev.obs.y = NULL, prev.res = NULL,
etas = c(0.1, 0.3), dec.cut = 0.65, priors = NULL,
prob.mdl = c("NONPARA", "NONPARA+", "PARA", "PARA+"), seed = NULL,
...)
Arguments
cur.obs.y |
Observed data from the current level, which is a vector of
length 4. The numbers correspond to |
prev.obs.y |
Observed data from previous levels, which has the same
structure as |
prev.res |
Response rate from the next lower dose level, say, |
etas |
Vector of length 2 representing |
dec.cut |
Thresholds |
priors |
A class |
prob.mdl |
Option of the probability models:
Default value is |
seed |
Random seed |
... |
Additional arguments for |
Details
Using data from previous levels and the current level to conduct Bayesian
analysis, get the decision map information and make decision about dose
escalation actions. The actions include stop the trial, escalate to the next
higher dose level, or enroll more patients in the current level. See visit
for details.
Value
A class VTDEC
list containing
prob: Probabilities of each decision map region
region: The region selected based on the sequential procedure described in
visit
ptox: Mean risk of DLT,
E(p^{(l)})
pres: Mean immune response rate,
E(q^{(l)})
con.prob: Conditional probabilities of each decision map region
prev.res: Function parameter
etas: Function parameter
dec.cut: Function parameter
Examples
etas <- c(0.1, 0.3)
dec.cut <- c(0.6,0.6,0.6)
cur.obs.y <- c(3, 2, 1, 1)
prev.obs.y <- c(5, 2, 0, 0)
rst.inter <- vtInterim(cur.obs.y, prev.obs.y = prev.obs.y,
prob.mdl = "NONPARA", etas = etas,
dec.cut = dec.cut,
nsmp = 2000);