tern (version 0.9.8)

h_stack_by_baskets: Helper function to create a new SMQ variable in ADAE by stacking SMQ and/or CQ records.

Description

Helper function to create a new SMQ variable in ADAE that consists of all adverse events belonging to selected Standardized/Customized queries. The new dataset will only contain records of the adverse events belonging to any of the selected baskets. Remember that na_str must match the needed pre-processing done with df_explicit_na() to have the desired output.

Usage

h_stack_by_baskets(
  df,
  baskets = grep("^(SMQ|CQ).+NAM$", names(df), value = TRUE),
  smq_varlabel = "Standardized MedDRA Query",
  keys = c("STUDYID", "USUBJID", "ASTDTM", "AEDECOD", "AESEQ"),
  aag_summary = NULL,
  na_str = ""
)

Value

A data.frame with variables in keys taken from df and new variable SMQ containing records belonging to the baskets selected via the baskets argument.

Arguments

df

(data.frame)
data set containing all analysis variables.

baskets

(character)
variable names of the selected Standardized/Customized queries.

smq_varlabel

(string)
a label for the new variable created.

keys

(character)
names of the key variables to be returned along with the new variable created.

aag_summary

(data.frame)
containing the SMQ baskets and the levels of interest for the final SMQ variable. This is useful when there are some levels of interest that are not observed in the df dataset. The two columns of this dataset should be named basket and basket_name.

na_str

(string)
string used to replace all NA or empty values in the output.

Examples

adae <- tern_ex_adae[1:20, ] %>% df_explicit_na()
h_stack_by_baskets(df = adae)

aag <- data.frame(
  NAMVAR = c("CQ01NAM", "CQ02NAM", "SMQ01NAM", "SMQ02NAM"),
  REFNAME = c(
    "D.2.1.5.3/A.1.1.1.1 aesi", "X.9.9.9.9/Y.8.8.8.8 aesi",
    "C.1.1.1.3/B.2.2.3.1 aesi", "C.1.1.1.3/B.3.3.3.3 aesi"
  ),
  SCOPE = c("", "", "BROAD", "BROAD"),
  stringsAsFactors = FALSE
)

basket_name <- character(nrow(aag))
cq_pos <- grep("^(CQ).+NAM$", aag$NAMVAR)
smq_pos <- grep("^(SMQ).+NAM$", aag$NAMVAR)
basket_name[cq_pos] <- aag$REFNAME[cq_pos]
basket_name[smq_pos] <- paste0(
  aag$REFNAME[smq_pos], "(", aag$SCOPE[smq_pos], ")"
)

aag_summary <- data.frame(
  basket = aag$NAMVAR,
  basket_name = basket_name,
  stringsAsFactors = TRUE
)

result <- h_stack_by_baskets(df = adae, aag_summary = aag_summary)
all(levels(aag_summary$basket_name) %in% levels(result$SMQ))

h_stack_by_baskets(
  df = adae,
  aag_summary = NULL,
  keys = c("STUDYID", "USUBJID", "AEDECOD", "ARM"),
  baskets = "SMQ01NAM"
)