teal.modules.clinical

This package contains a set of standard teal modules to be used with CDISC data in order to generate many of the standard outputs used in clinical trials.

These modules include, but are not limited to:

• Data visualizations:
  • Forest plots (tm_g_forest_rsp()/tm_g_forest_tte())
  • Line plots (tm_g_lineplot())
  • Kaplan-Meier plots (tm_g_km())
  • …
• Statistical model fits:
  • MMRM (tm_a_mmrm())
  • Logistic regression (tm_t_logistic())
  • Cox regression (tm_t_coxreg())
  • …
• Summary tables:
  • Unique patients (tm_t_summary())
  • Exposure across patients (tm_t_exposure())
  • Change from baseline for parameters (tm_t_summary_by())
  • …
• Patient-level profile modules:
  • Table of basic information about chosen patient (tm_t_pp_basic_info())
  • Plot of patient vitals over time (tm_g_pp_vitals())
  • General timeline for individual patients (tm_g_pp_patient_timeline())
  • …

Most modules in the package are implemented using functions from the R package tern in order to produce their output.

Please see the Teal Gallery and TLG Catalog for examples of shiny apps created using modules from this package.

# stable versions
install.packages('teal.modules.clinical')

# install.packages("pak")
pak::pak("insightsengineering/teal.modules.clinical@*release")

# beta versions
install.packages('teal.modules.clinical', repos = c('https://pharmaverse.r-universe.dev', getOption('repos')))

# install.packages("pak")
pak::pak("insightsengineering/teal.modules.clinical")