Create Datacut Dataset (DCUT) — create

After filtering the input DS dataset based on the given filter condition, any records where the SDTMv datetime variable is on or before the datacut datetime (after imputations) will be returned in the output datacut dataset (DCUT).

create_dcut(dataset_ds, ds_date_var, filter = NULL, cut_date, cut_description)

Arguments

dataset_ds: Input DS SDTMv dataset
ds_date_var: Character datetime variable in the DS SDTMv to be compared against the datacut date. Must be in the ISO 8601 format (YYYY-MM-DDThh:mm:ss). Will be imputed using the impute_sdtm() function.
filter: Condition to filter patients in DS, should give 1 row per patient
cut_date: Datacut datetime, e.g. "2022-10-22", "22OCT2022", or NA if no date cut is to be applied. Must be at least a complete date (can also include time) in either ISO 8601 (YYYY-MM-DDThh:mm:ss) or DDMMMYYYY formats. Will be imputed using the impute_dcutdtc() function.
cut_description: Datacut date/time description, e.g. "Clinical Cut Off Date"

Value

Datacut dataset containing the variables USUBJID, DCUTDTC, DCUTDTM and DCUTDESC.

Author

Alana Harris

Examples

ds <- tibble::tribble(
  ~USUBJID, ~DSSEQ, ~DSDECOD, ~DSSTDTC,
  "subject1", 1, "INFORMED CONSENT", "2020-06-23",
  "subject1", 2, "RANDOMIZATION", "2020-08-22",
  "subject1", 3, "WITHDRAWAL BY SUBJECT", "2020-05-01",
  "subject2", 1, "INFORMED CONSENT", "2020-07-13",
  "subject3", 1, "INFORMED CONSENT", "2020-06-03",
  "subject4", 1, "INFORMED CONSENT", "2021-01-01",
  "subject4", 2, "RANDOMIZATION", "2023-01-01"
)

dcut <- create_dcut(
  dataset_ds = ds,
  ds_date_var = DSSTDTC,
  filter = DSDECOD == "RANDOMIZATION",
  cut_date = "2022-01-01",
  cut_description = "Clinical Cutoff Date"
)