bdribs.sensitivity {bdribs} | R Documentation |
plot of range of posterior probability corresponding to a range of background rate
bdribs.sensitivity(Y = 5:9, pyr = 800, k = 1, tol = 1.2, bg.evnt = 18, bg.pyr = 4000, bg.ci.coef = 0.9, bg.rng = NULL, add.mid = FALSE, ...)
Y |
range on number of AESI events for which sensitivity range to be drawn (default = 5:9) |
pyr |
total patient-year exposure where AESI events occurred (default =800) |
k |
allocation ratio (T:C) (default =1) |
tol |
clinically meaningful relative risk (default =1.2) |
bg.evnt |
background (historical) number of events in the control group (default =18) |
bg.pyr |
background (historical) patient-year exposure in the control group (default =4000) |
bg.ci.coef |
range of background rate estimate to be obtained from bg.ci.coef*100% CI (default =0.9); takes any value between 0.5 and 0.999. |
bg.rng |
range of background rate - if specified then bg.evnt, bg.pyr, and bg.ci.coef will be ignored (default =NULL) |
add.mid |
indicator variable to plot P(r>tol | Y, pyr) under inf.type=2 - requires related parameters to be supplied (default =F) |
... |
to supply remaining parameters of bdribs call (other than y, pyr, k, bg.events, bg.pyr) for bdribs call when supplied will override the default values |
returns a plot of P(r>tol | Y, pyr) over the range of background rate
## Sample calls #run 1: The sensitivity plot bdribs.sensitivity(Y=5:9,pyr=800,k=1, tol=1.2, bg.evnt=18, bg.pyr=4000,bg.ci.coef=0.90) #run 2: The sensitivity plot bdribs.sensitivity(Y=5:9,pyr=800,k=1, tol=1.2, bg.evnt=18, bg.pyr=4000,bg.ci.coef=0.90, add.mid=TRUE) #run 3: Using bg.rng parameter bdribs.sensitivity(Y=5:9,pyr=800,k=1, tol=1.2, bg.rng = c(0.0030, 0.0045, 0.0065))