Other packages > Find by keyword >

RefBasedMI  

Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RefBasedMI", "0.2.0")



Attach the package and use:
library("RefBasedMI")
Maintained by
Matteo Quartagno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-27
Latest Update: 2024-09-09
Description:
Imputation of missing numerical outcomes for a longitudinal trial with protocol deviations. The package uses distinct treatment arm-based assumptions for the unobserved data, following the general algorithm of Carpenter, Roger, and Kenward (2013) <doi:10.1080/10543406.2013.834911>, and the causal model of White, Royes and Best (2020) <doi:10.1080/10543406.2019.1684308>. Sensitivity analyses to departures from these assumptions can be done by the Delta method of Roger. The program uses the same algorithm as the 'mimix' 'Stata' package written by Suzie Cro, with additional coding for the causal model and delta method. The reference-based methods are jump to reference (J2R), copy increments in reference (CIR), copy reference (CR), and the causal model, all of which must specify the reference treatment arm. Other methods are missing at random (MAR) and the last mean carried forward (LMCF). Individual-specific imputation methods (and their reference groups) can be specified.
How to cite:
Matteo Quartagno (2023). RefBasedMI: Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation. R package version 0.2.0, https://cran.r-project.org/web/packages/RefBasedMI. Accessed 20 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 0.1.0 (2023-04-27 14:42), 0.1.1 (2023-08-21 15:30)
Other packages that cited RefBasedMI R package
View RefBasedMI citation profile
Other R packages that RefBasedMI depends, imports, suggests or enhances
Complete documentation for RefBasedMI
Functions, R codes and Examples using the RefBasedMI R package
Full RefBasedMI package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ISR  
The Iterated Score Regression-Based Estimation
Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high c ...
Download / Learn more Package Citations See dependency  
EvalEst  
Dynamic Systems Estimation - Extensions
Provides functions for evaluating (time series) model estimation methods. These facilitate Monte Ca ...
Download / Learn more Package Citations See dependency  
conStruct  
Models Spatially Continuous and Discrete Population Genetic Structure
A method for modeling genetic data as a combination of discrete layers, within each of which relate ...
Download / Learn more Package Citations See dependency  
MOTE  
Effect Size and Confidence Interval Calculator
Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect siz ...
Download / Learn more Package Citations See dependency  
bgeva  
Binary Generalized Extreme Value Additive Models
Routine for fitting regression models for binary rare events with linear and nonlinear covariate eff ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

76,898

Author Associations

29,081

Publication Badges

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