tern (version 0.9.8)

h_adsl_adlb_merge_using_worst_flag: Helper function for deriving analysis datasets for select laboratory tables

Description

Helper function that merges ADSL and ADLB datasets so that missing lab test records are inserted in the output dataset. Remember that na_level must match the needed pre-processing done with df_explicit_na() to have the desired output.

Usage

h_adsl_adlb_merge_using_worst_flag(
  adsl,
  adlb,
  worst_flag = c(WGRHIFL = "Y"),
  by_visit = FALSE,
  no_fillin_visits = c("SCREENING", "BASELINE")
)

Value

df containing variables shared between adlb and adsl along with variables PARAM, PARAMCD, ATOXGR, and BTOXGR relevant for analysis. Optionally, AVISIT are AVISITN are included when by_visit = TRUE and no_fillin_visits = c("SCREENING", "BASELINE").

Arguments

adsl

(data.frame)
ADSL data frame.

adlb

(data.frame)
ADLB data frame.

worst_flag

(named character)
worst post-baseline lab flag variable. See how this is implemented in the following examples.

by_visit

(flag)
defaults to FALSE to generate worst grade per patient. If worst grade per patient per visit is specified for worst_flag, then by_visit should be TRUE to generate worst grade patient per visit.

no_fillin_visits

(named character)
visits that are not considered for post-baseline worst toxicity grade. Defaults to c("SCREENING", "BASELINE").

Details

In the result data missing records will be created for the following situations:

• Patients who are present in adsl but have no lab data in adlb (both baseline and post-baseline).

• Patients who do not have any post-baseline lab values.

• Patients without any post-baseline values flagged as the worst.

Examples

# `h_adsl_adlb_merge_using_worst_flag`
adlb_out <- h_adsl_adlb_merge_using_worst_flag(
  tern_ex_adsl,
  tern_ex_adlb,
  worst_flag = c("WGRHIFL" = "Y")
)

# `h_adsl_adlb_merge_using_worst_flag` by visit example
adlb_out_by_visit <- h_adsl_adlb_merge_using_worst_flag(
  tern_ex_adsl,
  tern_ex_adlb,
  worst_flag = c("WGRLOVFL" = "Y"),
  by_visit = TRUE
)