A Standard Dataset in the OMOP Common Data Model
c(
person("Frank", "DeFalco", , "fdefalco@ohdsi.org", role = c("aut", "cre")),
person("Martijn", "Schuemie", , "schuemie@ohdsi.org", role = c("aut")),
person("Observational Health Data Science and Informatics", role = c("cph"))
)
A sample dataset in the OMOP (Observational Medical Outcomes Partnership) Common Data Model (CDM) format. The CDM enables uniform storage of observational health care data, and is widely used for health care analytics. 'Eunomia' contains simulated data as well as a subset of the OMOP Vocabulary, and enables testing of additional packages and is used for educational and demonstration purposes.
Frank DeFalco [aut, cre],
Martijn Schuemie [aut],
Observational Health Data Science and Informatics [cph]

Bayesian Single Arm Sample Size Calculation Software
Frequentist and Bayesian single arm trial design and sample size software.
Designs cover one and two binary endpoints with both single and multi-stage
methodology. The research leading to these results has received funding from the
European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement
number 278742 (Eurosarc).
shiny, VGAM, data.table, plyr, methods, clinfun

Bayesian sample size calculation software and examples for EuroSARC
clinical trials which utilise Bayesian methodology. These trials rely on
binomial based endpoints so the majority of programs found here relate to this
sort of endpoint. Developed as part of the EuroSARC FP7 grant.

Package for combining pieces of evidence

Combine pieces of evidence in the form of uncertainty representations.

Evaluation Clustering Methods for Disease Subtypes Diagnosis
Contains a set of clustering methods and evaluation metrics to select the best number of the clusters based on clustering stability. Two references describe the methodology: Fahimeh Nezhadmoghadam, and Jose Tamez-Pena (2021)<doi:10.1016/j.compbiomed.2021.104753>, and Fahimeh Nezhadmoghadam, et al.(2021)<doi:10.2174/1567205018666210831145825>.