Performing Matched-Adjusted Indirect Comparisons (MAIC)

Documentation for package ‘MAICtools’ version 0.1.1

AgD_bl	Description of AgD_bl dataset
AgD_eff	Description of AgD_eff dataset
anchored_maic	Conduct Anchored Matching-Adjusted Indirect Comparison (MAIC).
check_matching	Check Whether the Variables are Balanced After Weighting
check_matching2wider	Convert a Longer Table Generated by check_matching() Into a Wider Table
estimate_ess	Estimate Effective Sample Size (ESS)
estimate_weights	Functions for the Estimation of Propensity Weights
hist_weights	Histograms of Weights and Rescaled Weights Distributions
IPD	Description of IPD dataset
pseudo	Description of pseudo dataset
pts	Description of pts dataset
summarize_weights	Summarize the Distribution of Weight Values
unanchored_kmplot	Generate a Kaplan-Meier Plot with Individual Efficacy Data and Pseudo Efficacy Data.
unanchored_maic	Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC).
unanchored_maic_bootstrap	Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC) and Calculate Confidence Intervals (CIs) Using Bootstrap.
unpts	Description of unpts dataset