metalite - ADaM Metadata Structure
A metadata structure for clinical data analysis and reporting based on Analysis Data Model (ADaM) datasets. The package simplifies clinical analysis and reporting tool development by defining standardized inputs, outputs, and workflow. The package can be used to create analysis and reporting planning grid, mock table, and validated analysis and reporting results based on consistent inputs.
Last updated 3 months ago
cdiscclinical-trialsmetadata
9.27 score 15 stars 4 packages 58 scripts 271 downloadsmetalite.ae - Adverse Events Analysis Using 'metalite'
Analyzes adverse events in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the adverse events analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Last updated 4 days ago
cdiscclinical-trialsmetadata
9.23 score 17 stars 1 packages 31 scripts 598 downloadssimtrial - Clinical Trial Simulation
Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Last updated 4 days ago
9.10 score 18 stars 54 scripts 695 downloads