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MRMCsamplesize  

Sample Size Estimations for Planning Multi-Reader Multi-Case (MRMC) Studies Without Pilot Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MRMCsamplesize", "1.0.0")



Attach the package and use:
library("MRMCsamplesize")
Maintained by
Dennis Robert
[Scholar Profile | Author Map]
First Published: 2023-08-18
Latest Update: 2023-08-18
Description:
Sample size estimations for MRMC studies based on the Obuchowski-Rockette (OR) methodology is implemented. The function can calculate sample sizes where the endpoint of interest in the study is either ROC AUC (Area-Under-the-Receiver-Operating-Characteristics-Curve) or sensitivity. The package can also return sample sizes for studies expected to have clustering effect (e.g.- multiple pulmonary nodules per patient). All calculations assume that the study design is fully crossed (paired-reader, paired-case) where each reader reads/interprets each case and that there are two interventions/imaging-modalities/techniques in the study. In addition to MRMC, it can also be used to estimate sample sizes for standalone studies where sensitivity or AUC are the primary endpoints. The methods implemented are based on the methods described in Zhou et.al. (2011) and Obuchowski (2000) .
How to cite:
Dennis Robert (2023). MRMCsamplesize: Sample Size Estimations for Planning Multi-Reader Multi-Case (MRMC) Studies Without Pilot Data. R package version 1.0.0, https://cran.r-project.org/web/packages/MRMCsamplesize. Accessed 09 Apr. 2025.
Previous versions and publish date:
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Complete documentation for MRMCsamplesize
Functions, R codes and Examples using the MRMCsamplesize R package
Full MRMCsamplesize package functions and examples
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