unanchored_maic_bootstrap: Conduct non-Anchored Matching-Adjusted Indirect Comparison...

In MAICtools: Performing Matched-Adjusted Indirect Comparisons (MAIC)

Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC) and Calculate Confidence Intervals (CIs) Using Bootstrap.

Description

Two different methods for estimating a 95% confidence interval (CI) from
the bootstrap samples were explored:
* Percentile CIs
* Bias-corrected and accelerated (BCa) CIs

Arguments

ipds	A data frame containing individual patient data from the intervention study, with baseline characteristic variables for matching.
psds	A data frame containing pseudo data from the comparator study.
agds	A data frame containing aggregate summary data from the comparator study.
matching.list	A character list with two elements giving the names of variables for matching: the first is a vector of binary variables, and the second is a vector of continuous variables. The variable names must match the column names in ipds and agds. Use c() if a type is absent.
intervention.arm	The name of the grouping column in the data frame specified by ipds, e.g., intervention.arm = TRT. The default is TRT.
comparator	The name of the study column in the data frame specified by agds, e.g., comparator = STUDY. The default is STUDY.
comparator.study	A character specifying the comparator study, which must be quoted and cannot be empty (e.g., comparator.study = "Study XX-1"). This is the value of the study column in agds set by the comparator parameter.
comparator.arm	The name of the grouping column in the data frame specified by agds, e.g., comparator.arm = TRT. The default is TRT.
ipds.param.var	The name of the column that specifies only a subset of the ipds to be used.
ipds.param	A character specifying the subset of the rows to be used. This is the value of the column set by the ipds.param.var.
psds.param.var	The name of the column that specifies only a specifyed result of the psds to be used.
psds.param	A character specifying the subset of the rows to be used. This is the value of the column set by the psds.param.var.
time	The name of the survival or follow up time column.
status	The status indicator, normally 0 = event, 1 = censored. Can be reseted using the event parameter.
event	A numeric value that represents the survival status, 0 = event, 1 = censored.
response	The name of the response status column.
dtype	Two options are available: "HR" and "OR". The default is "HR".
n.samples	The number of bootstrap replicates.
CIw	The numeric value specifying the width of the confidence interval, with a default of 0.95.
digits	Specify the number of decimal places for the output results.
...	Refer to boot for additional parameters.

Value

A list containing 2 objects. First, a data frame containing the non-anchored matching-adjusted indirect comparison results. Second, a bootstrapping diagnostics histogram.

Examples

cov <- list(
  c("ECOG", "SMK", "METBRAIN"),
  c("BMI", "DIAG")
)

results5 <- unanchored_maic_bootstrap(
  ipds = IPD,
  agds = AgD_bl,
  psds = pseudo,
  matching.list = cov,
  intervention.arm = TRT,
  comparator = STUDY,
  comparator.study = "Study XX-1",
  comparator.arm = TRT,
  time = AVAL, status = CNSR, event = 0,
  dtype = "HR",
  ipds.param.var = PARAMCD, ipds.param = "OS",
  psds.param.var = NULL, psds.param = NULL,
  n.samples = 1000
)

results5$results
results5$plot

MAICtools documentation built on April 4, 2025, 12:17 a.m.