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maicplus (version 0.1.2)

Matching Adjusted Indirect Comparison

Description

Facilitates performing matching adjusted indirect comparison (MAIC) analysis where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response). The method is described by Signorovitch et al (2012) .

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Install

install.packages('maicplus')

Monthly Downloads

265

Version

0.1.2

License

Apache License 2.0

Issues

23

Pull Requests

2

Stars

5

Forks

2

Maintainer

Isaac Gravestock

Last Published

February 21st, 2025

Functions in maicplus (0.1.2)

centered_ipd_sat

Centered patient data from single arm trial
ess_footnote_text

Note on Expected Sample Size Reduction
check_weights

Check to see if weights are optimized correctly
adrs_twt

Binary outcome data from two arm trial
adrs_sat

Binary outcome data from single arm trial
center_ipd

Center individual patient data (IPD) variables using aggregate data averages
calculate_weights_legend

Calculate Statistics for Weight Plot Legend
basic_kmplot

Basic Kaplan Meier (KM) plot function
dummize_ipd

Create dummy variables from categorical variables in an individual patient data (ipd)
estimate_weights

Derive individual weights in the matching step of MAIC
get_pseudo_ipd_binary

Create pseudo IPD given aggregated binary data
ext_tte_transfer

helper function: transform TTE ADaM data to suitable input for survival R package
ph_diagplot_schoenfeld

PH Diagnosis Plot of Schoenfeld residuals for a Cox model fit
medSurv_makeup

Helper function to retrieve median survival time from a survival::survfit object
ph_diagplot_lch

PH Diagnosis Plot of Log Cumulative Hazard Rate versus time or log-time
centered_ipd_twt

Centered patient data from two arm trial
find_SE_from_CI

Calculate standard error from the reported confidence interval.
glm_makeup

Helper function to summarize outputs from glm fit
kmplot2

Kaplan-Meier (KM) plot function for anchored and unanchored cases using ggplot
maic_anchored

Anchored MAIC for binary and time-to-event endpoint
maic_unanchored

Unanchored MAIC for binary and time-to-event endpoint
ph_diagplot

Diagnosis plot of proportional hazard assumption for anchored and unanchored
kmplot

Kaplan Meier (KM) plot function for anchored and unanchored cases
pseudo_ipd_twt

Pseudo individual patient survival data from published two arm study
survfit_makeup

Helper function to select set of variables used for Kaplan-Meier plot
reformat

Reformat maicplus_bucher alike object
maicplus-package

maicplus: Matching Adjusted Indirect Comparison
process_agd

Pre-process aggregate data
pseudo_ipd_sat

Pseudo individual patient survival data from published study
get_time_as

Convert Time Values Using Scaling Factors
set_time_conversion

Get and Set Time Conversion Factors
plot_weights_base

Plot MAIC weights in a histogram with key statistics in legend
weighted_twt

Weighted object for two arm trial data
plot_weights_ggplot

Plot MAIC weights in a histogram with key statistics in legend using ggplot2
weighted_sat

Weighted object for single arm trial data
adtte_sat

Survival data from single arm trial
basic_kmplot2

Basic Kaplan Meier (KM) plot function using ggplot
bucher

Bucher method for combining treatment effects
adsl_sat

Patient data from single arm study
adtte_twt

Survival data from two arm trial
agd

Aggregate effect modifier data from published study
adsl_twt

Patient data from two arm trial