Other packages > Find by keyword >

maic  

Matching-Adjusted Indirect Comparison
View on CRAN: Click here


Download and install maic package within the R console
Install from CRAN:
install.packages("maic")

Install from Github:
library("remotes")
install_github("cran/maic")

Install by package version:
library("remotes")
install_version("maic", "0.1.4")



Attach the package and use:
library("maic")
Maintained by
Rob Young
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-30
Latest Update: 2022-04-27
Description:
A generalised workflow for generation of subject weights to be used in Matching-Adjusted Indirect Comparison (MAIC) per Signorovitch et al. (2012) , Signorovitch et al (2010) . In MAIC, unbiased comparison between outcomes of two trials is facilitated by weighting the subject-level outcomes of one trial with weights derived such that the weighted aggregate measures of the prognostic or effect modifying variables are equal to those of the sample in the comparator trial. The functions and classes included in this package wrap and abstract the process demonstrated in the UK National Institute for Health and Care Excellence Decision Support Unit (NICE DSU)'s example (Phillippo et al, (2016) [see URL]), providing a repeatable and easily specifiable workflow for producing multiple comparison variable sets against a variety of target studies, with preprocessing for a number of aggregate target forms (e.g. mean, median, domain limits).
How to cite:
Rob Young (2020). maic: Matching-Adjusted Indirect Comparison. R package version 0.1.4, https://cran.r-project.org/web/packages/maic
Previous versions and publish date:
0.1.2 (2020-04-30 21:00), 0.1.3 (2021-05-11 08:50)
Other packages that cited maic R package
View maic citation profile
Other R packages that maic depends, imports, suggests or enhances
Functions, R codes and Examples using the maic R package
Some associated functions: createMAICInput . maicMatching . maicWeight . reportCovariates . 
Some associated R codes: maic.R .  Full maic package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns