AUC_Bailers_method {ubiquity} | R Documentation |
Calculate AUC for Sparse Data
Description
This is an implementation of Bailors method for calculating AUCs with sparse sampling. It is taken from the following publication:
Nedelman, J. R., Gibiansky, E., & Lau, D. T. (1995). Applying Bailer's method for AUC confidence intervals to sparse sampling Pharmaceutical Research, 12(1), 124-128.
Usage
AUC_Bailers_method(
conc_data = NULL,
dsmap = list(NTIME = "NTIME", CONC = "CONC", ID = "ID")
)
Arguments
conc_data |
data frame containing the sparse data |
dsmap |
list with names specifying the columns:
|
Value
list with the following elements
-
isgood
Boolean value indicating the result of the function call -
AUC
Mean AUC -
var_AUC
Variance of the AUC -
msgs
Sequence of strings contianing a description of any problems -
obss
Internal of observations -
times
Sequence of time corresponding to the rows ofobs
-
r
number of observations at each time point (rows correspond to rows ofobs
)