A framework for evaluation of clinical trial safety. Users can interactively explore their data using the 'Shiny' application or create standalone 'htmlwidget' charts. Interactive charts are built using 'd3.js' and 'webcharts.js' 'JavaScript' libraries.
The safetyGraphics package provides a framework for evaluation of clinical trial safety in R. The initial release focuses on Evaluation of Drug-Induced Serious Hepatotoxicity (eDISH). A prototype of the eDish interactive graphic is available here and is shown below.
This package is being built in conjunction with the safety-eDISH javascript library. Both packages are under active development with beta testing and an initial release planned for early 2019.
Users can interactively explore their data with a shiny application or create standalone interactive charts.
The Shiny app provides a simple interface for:
devtools::install_github("ASA-DIA-InteractiveSafetyGraphics/safetyGraphics")library("safetyGraphics")chartBuilderApp() #open the shiny application
Users can also initialize customized standalone charts with a few lines of code.
devtools::install_github("ASA-DIA-InteractiveSafetyGraphics/safetyGraphics")library("safetyGraphics")eDISH(data=adlbc, id_col = "USUBJID", value_col = "AVAL", measure_col = "PARAM", visit_col = "VISIT", visitn_col = "VISITNUM", studyday_col = "ADY", normal_col_low = "A1LO", normal_col_high = "A1HI", measure_values = list(ALT = "Alanine Aminotransferase (U/L)", AST = "Aspartate Aminotransferase (U/L)", TB = "Bilirubin (umol/L)", ALP = "Alkaline Phosphatase (U/L)"))
Initial CRAN release for safetyGraphics. The safetyGraphics package provides framework for evaluation of clinical trial safety. Users can interactively explore their data using the 'Shiny' application or create standalone 'htmlwidget' charts. Interactive charts are built using 'd3.js' and 'webcharts.js' 'JavaScript' libraries.
See the github release tracker for additional release documentation and links to issues.