Introducing {gtreg}

R/Pharma

an R package to produce regulatory tables for clinical research

<h3>In this workshop you will learn how to make standard regulatory tables and table shells for clinical research using the {gtreg} package in R. This includes: adverse event tables, summary tables with multi-line statistics for continuous variables, and raw data listings tables with grouped data. Table elements like headers, footers, or captions are customizable using {gtreg} column selectors, and the {gt} package can be used to implement final styling tweaks on your table. Lastly, {gtreg} tables are easily output to various formats, including HTML, PDF, RTF, Word, and Excel.</h3><h3>Presenter Bios: </h3><h3>Shannon Pileggi is a Lead Data Scientist at The Prostate Cancer Clinical Trials Consortium, a frequent blogger, and a member of the R-Ladies Global team. She enjoys automating data wrangling and data outputs, and making both data insights and learning new material digestible.</h3><h3>Daniel Sjoberg is Senior Research Biostatistician at Memorial Sloan Kettering Cancer Center. Daniel was recently awarded the annual innovator in programming award from the American Statistical Association for his development of the {gtsummary} R package–a package to prepare data and regression model summaries in ready-for-publication tables. He is the author on other CRAN packages to perform statistical analysis and to streamline a statistician or data analyst’s work including ggsurvfit, dcurves, tidycmprsk, rstudio.prefs, starter, broom.helpers, and visR. </h3>

Introducing {gtreg}

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Introducing {gtreg}

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