Imputes dose records using ADDL and II by looking forward and backwards

This function imputes dose records by looking at the missing doses between available records based on a given II value

Usage

impute_dose(data, id, datetime, amt = "AMT", ii = "II", thr = 50, back = TRUE)

Arguments

data

data frame to perform the calculations on

id

character identifying the id variable within the data frame

datetime

character identifying the date/time variable (POSIXct) within the data frame

amt

character identifying the AMT (amount) variable within the data frame

ii

character identifying the II (Interdose Interval) variable within the data frame

thr

numeric indicating the threshold percentage for imputation (see details)

back

logical indicating if the time for imputed doses should be taken from the previous record (TRUE) or the next (FALSE)

Value

a data frame with imputed dose records

Details

The function fills in the doses by looking at the time difference and II between all records. Be aware that this can result in unexpected results in a few cases, so results should always be handled with care. The function will determine if a dose should be imputed based on the 'thr' value. For each dose, the function determines the percentage difference from the previous dose based on the II value. In case this the expected difference is above the threshold value imputation will be done.

Author

Richard Hooijmaijers

Examples

dfrm <- data.frame(id=c(1,1), dt=c(Sys.time(),Sys.time()+ 864120),
                   II=c(24,24),AMT=c(10,10))
impute_dose(dfrm,"id","dt")
#> ! Found unequal TAU values check before using results
#>   id                  dt II AMT       type ADDL
#> 1  1 2026-03-09 15:18:22 24  10   original   NA
#> 2  1 2026-03-10 15:18:22 24  10 additional    8
#> 3  1 2026-03-19 15:20:22 24  10   original   NA