View source: R/check_ae_aeacnoth.R
check_ae_aeacnoth | R Documentation |
Flag if patient has a record with null values of AEACNOT1 and AEACNOT2 but AEACNOTH = 'MULTIPLE', so a likely mapping issue
check_ae_aeacnoth(AE, preproc = identity, ...)
AE |
Adverse Events SDTM dataset with variables USUBJID, AETERM, AESTDTC, AEACNOTH, AEACNOT1/2, AESPID (optional) |
preproc |
An optional company specific preprocessing script |
... |
Other arguments passed to methods |
boolean value if check failed or passed with 'msg' attribute if the test failed
Ross Farrugia
AE <- data.frame(
USUBJID = 1:7,
AETERM = 1:7,
AESTDTC = 1:7,
AEACNOTH = 1:7,
AEACNOT1 = 1:7,
AEACNOT2 = 1:7,
AESPID = "FORMNAME-R:13/L:13XXXX"
)
# pass
check_ae_aeacnoth(AE)
AE$AEACNOTH[1] = ""
AE$AEACNOT1[1] = ""
AE$AEACNOT2[1] = ""
AE$AEACNOTH[2] = "MULTIPLE"
AE$AEACNOT1[2] = "DOSE REDUCED"
AE$AEACNOT2[2] = "DRUG WITHDRAWN"
AE$AEACNOTH[3] = "MULTIPLE"
AE$AEACNOT1[3] = "DOSE REDUCED"
AE$AEACNOT2[3] = ""
AE$AEACNOTH[4] = "MULTIPLE"
AE$AEACNOT1[4] = ""
AE$AEACNOT2[4] = "DRUG WITHDRAWN"
AE$AEACNOTH[5] = "MULTIPLE"
AE$AEACNOT1[5] = ""
AE$AEACNOT2[5] = ""
# fail
check_ae_aeacnoth(AE)
check_ae_aeacnoth(AE,preproc=roche_derive_rave_row)
AE$AEACNOTH[1] = NA
AE$AEACNOT1[1] = NA
AE$AEACNOT2[1] = NA
AE$AEACNOT2[3] = NA
AE$AEACNOT1[4] = NA
AE$AEACNOT1[5] = NA
AE$AEACNOT2[5] = NA
# fail
check_ae_aeacnoth(AE)
check_ae_aeacnoth(AE,preproc=roche_derive_rave_row)
AE$AEACNOTH <- NULL
AE$AEACNOT1 <- NULL
AE$AEACNOT2 <- NULL
AE$AESPID <- NULL
check_ae_aeacnoth(AE)
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