RefBasedMI

Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation

CRAN Package

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.

  • Version0.2.0
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release09/09/2024

Team


Insights

Last 30 days

This package has been downloaded 226 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.

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0 downloadsMar 2, 2025
7 downloadsMar 3, 2025
10 downloadsMar 4, 2025
13 downloadsMar 5, 2025
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11 downloadsApr 1, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 1,811 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 45 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports5 packages