Patient Cut — pt_cut • datacutr

Use to apply a patient cut to an SDTMv dataset (i.e. subset SDTMv observations on patients included in the dataset_cut input dataset)

Usage

pt_cut(dataset_sdtm, dataset_cut)

Arguments

dataset_sdtm: Input SDTMv dataset
dataset_cut: Input datacut dataset, e.g. dcut

Value

Input dataset plus a flag DCUT_TEMP_REMOVE to indicate which observations would be dropped when a patient level datacut is applied

Author

Alana Harris

Examples

library(lubridate)
dcut <- tibble::tribble(
  ~USUBJID, ~DCUTDTM,
  "subject1", ymd_hms("2020-10-11T23:59:59"),
  "subject2", ymd_hms("2020-10-11T23:59:59"),
  "subject4", ymd_hms("2020-10-11T23:59:59")
)

ae <- tibble::tribble(
  ~USUBJID, ~AESEQ, ~AESTDTC,
  "subject1", 1, "2020-01-02T00:00:00",
  "subject1", 2, "2020-08-31T00:00:00",
  "subject1", 3, "2020-10-10T00:00:00",
  "subject2", 2, "2020-02-20T00:00:00",
  "subject3", 1, "2020-03-02T00:00:00",
  "subject4", 1, "2020-11-02T00:00:00"
)

ae_out <- pt_cut(
  dataset_sdtm = ae,
  dataset_cut = dcut
)