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Joins several IDDO-SDTM domains together to create a single dataset with participant demographics, characteristics and baseline test results or findings. Baseline timing is defined as planned study day (VISITDY) = 1 or epoch (EPOCH) = BASELINE.

Usage

create_participant_table(
  dm_domain,
  lb_domain = NULL,
  mb_domain = NULL,
  rp_domain = NULL,
  sc_domain = NULL,
  vs_domain = NULL
)

Arguments

dm_domain

A demographics/DM domain data frame.

lb_domain

A laboratory/LB domain data frame.

mb_domain

A microbiology/MB domain data frame.

rp_domain

A reproductive system findings/RP domain data frame.

sc_domain

A subject characteristics/SC domain data frame.

vs_domain

A vital signs/VS domain data frame.

Value

An analysis dataset, one row per participant.

Examples

create_participant_table(dm_domain = DM_RPTESTB,
                         lb_domain = LB_RPTESTB,
                         vs_domain = VS_RPTESTB)
#> [1] "The timing variable(s) hierarchy being used in prepare_domain() for the VS domain are: VISITDY, EPOCH"
#> [1] "Number of rows where values_fn has been used to pick record in the VS domain: 0"
#> Joining with `by = join_by(STUDYID, USUBJID)`
#> [1] "The timing variable(s) hierarchy being used in prepare_domain() for the LB domain are: VISITDY, EPOCH"
#> [1] "Number of rows where values_fn has been used to pick record in the LB domain: 0"
#> Joining with `by = join_by(STUDYID, USUBJID)`
#> Joining with `by = join_by(STUDYID, USUBJID, AGE_YEARS, SEX, RFSTDTC, RACE,
#> ETHNIC, ARMCD, COUNTRY, SITEID, DTHFL, `BMI_kg/m2`, HEIGHT_cm, WEIGHT_kg)`
#> # A tibble: 3 × 20
#>   STUDYID USUBJID     AGE_YEARS SEX   RFSTDTC RACE  ETHNIC  ARMCD COUNTRY SITEID
#>   <chr>   <chr>           <dbl> <chr> <chr>   <chr> <chr>   <chr> <chr>   <chr> 
#> 1 RPTESTB RPTESTB_001        67 F     2023/01 White British PBO   UK      OXFORD
#> 2 RPTESTB RPTESTB_002        18 F     2023/01 White Irish   TRT   UK      OXFORD
#> 3 RPTESTB RPTESTB_003         4 M     2023/02 White British TRT   UK      OXFORD
#> # ℹ 10 more variables: DTHFL <chr>, `BMI_kg/m2` <chr>, HEIGHT_cm <chr>,
#> #   WEIGHT_kg <chr>, HAZ <dbl>, HAZ_FLAG <int>, WAZ <dbl>, WAZ_FLAG <int>,
#> #   WHZ <dbl>, WHZ_FLAG <int>