Package: MRMCsamplesize 1.0.0

MRMCsamplesize: Sample Size Estimations for Planning Multi-Reader Multi-Case (MRMC) Studies Without Pilot Data

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) <doi:10.1002/9780470906514> and Obuchowski (2000) <doi:10.2214/ajr.175.3.1750603>.

Authors:Dennis Robert [aut, cre]

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MRMCsamplesize.pdf |MRMCsamplesize.html
MRMCsamplesize/json (API)

# Install 'MRMCsamplesize' in R:
install.packages('MRMCsamplesize', repos = c('https://technoslerphile.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/technoslerphile/mrmcsamplesize/issues

On CRAN:

2.70 score 1 stars 230 downloads 2 exports 1 dependencies

Last updated 2 months agofrom:7e2c8d9f62. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:sampleSize_MRMCsampleSize_Standalone

Dependencies:fpow