Performing Matched-Adjusted Indirect Comparisons (MAIC)
Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC).
Convert a Longer Table Generated by check_matching() Into a Wider Tabl...
Conduct Anchored Matching-Adjusted Indirect Comparison (MAIC).
Check Whether the Variables are Balanced After Weighting
Estimate Effective Sample Size (ESS)
Functions for the Estimation of Propensity Weights
Histograms of Weights and Rescaled Weights Distributions
Summarize the Distribution of Weight Values
Generate a Kaplan-Meier Plot with Individual Efficacy Data and Pseudo ...
Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC) and ...
A generalised workflow for Matching-Adjusted Indirect Comparison (MAIC) analysis, which supports both anchored and non-anchored MAIC methods. In MAIC, unbiased trial outcome comparison is achieved by weighting the subject-level outcomes of the intervention trial so that the weighted aggregate measures of prognostic or effect-modifying variables match those of the comparator trial. Measurements supported include time-to-event (e.g., overall survival) and binary (e.g., objective tumor response). The method is described in Signorovitch et al. (2010) <doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012) <doi:10.1016/j.jval.2012.05.004>.