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Perturbation family: alternative analysis data sets

Source: R/families.R
stress_data.Rd

The generic data-decision family. Each alternative is a data frame in the spec's layout (an intercurrent-event handling, a different baseline definition, a contested record reversed, a different visit window). The pre-specified model is refitted on each.

Usage

stress_data(
  spec,
  alternatives,
  family = "data handling",
  role = "supplementary",
  cores = 1L
)

Arguments

spec

A stress_spec().

alternatives

Named list of data frames.

family

Family label for the rows.

role

"supplementary" (the default: an alternative data set usually targets a different estimand) or "sensitivity".

cores

Number of worker processes; 1 fits sequentially.

Value

A stress_rows data frame, one row per alternative.

Examples

spec <- stress_spec(mmrm::fev_data, "FEV1", "USUBJID", "AVISIT", "ARMCD", "PBO",
                    covariates = ~ RACE + SEX + FEV1_BL)
alt <- mmrm::fev_data
alt$FEV1[alt$USUBJID == "PT1"] <- NA   # one subject's records set missing
stress_data(spec, list("PT1 removed" = alt))
#>          family       label        kind          role is_base converged note
#> 1 data handling PT1 removed alternative supplementary   FALSE      TRUE     
#>   estimate   stderr       df      lcl     ucl           p n_subj n_obs     aicc
#> 1 4.854738 1.624677 132.2215 1.641016 8.06846 0.003347088    196   535 3360.377
#>   param covariance        method                 vcov           covariates
#> 1    NA         us Kenward-Roger Kenward-Roger-Linear RACE + SEX + FEV1_BL
#>   alpha
#> 1  0.05