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. Accessed 18 Feb. 2025.
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
Complete documentation for maic
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

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
ppmf  
Read Census Privacy Protected Microdata Files
Implements data processing described in to align modern differentially ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA