check_lb_lbstresn_missing {sdtmchecks}

Check missing standard lab values (LBSTRESN/LBSTRESC)

Description

This check looks for missing standardized finding (LBSTRESN/LBSTRESC) when original finding (LBORRES) is not missing

Usage

check_lb_lbstresn_missing(LB, preproc = identity, ...)

Arguments

LB

Lab SDTM dataset with variables USUBJID, LBTESTCD, LBDTC, LBORRES, LBORRESU, LBSTRESN, LBSTRESC, VISIT (optional), LBSPID (optional)

preproc

An optional company specific preprocessing script

...

Other arguments passed to methods

Value

boolean value if check failed or passed with 'msg' attribute if the test failed

Author(s)

Madeleine Ma

Examples

LB <- data.frame(
 USUBJID = c("Patient 1","Patient 2","Patient 3"),
 LBTEST   = "Test A",
 LBTESTCD   = "TA",
 LBDTC   = "2017-01-01",
 LBORRES = c("5","6","7"),
 LBSTRESC = c("5","6","7"),
 LBORRESU = rep("mg",3),
 LBSTRESN  = c(5,6,NA),
 stringsAsFactors=FALSE
 )

check_lb_lbstresn_missing(LB)

LB$LBSTRESC[3] = ""
check_lb_lbstresn_missing(LB)

LB$LBSTRESC[1] = ""
check_lb_lbstresn_missing(LB)

LB$VISIT = "SCREENING"
check_lb_lbstresn_missing(LB)

LB$LBSPID= "FORMNAME-R:2/L:2XXXX"
check_lb_lbstresn_missing(LB,preproc=roche_derive_rave_row)

LB$LBSTRESN = NULL
check_lb_lbstresn_missing(LB)

LB$LBSTRESC = NULL
check_lb_lbstresn_missing(LB)