Abstract: The scope of the paper is to show how to produce a statistical summary report along with explanatory text using R Markdown in RStudio. Programmers write a lot of reports that describe the results of data analyses. There should be a clear and automatic path from data and code to the final report. R Markdown is ideal for this as it is a system for combining code and text into a single document. It is also an efficient, user-friendly tool for producing reports that do not need constant updating. RStudio is often used in the Pharmaceutical and Healthcare industries for analysis and data visualization, and the R Markdown tool can also be leveraged for creating reports and datasets for submission to regulatory agencies. This paper presents an RStudio program that demonstrates how to use R Markdown to generate a statistical table showing adverse events (AE) by system organ class (or preferred term) and severity grade along with text that explains the table. Collecting AE data and performing analysis of AEs is a common and critical part of Clinical Trials. A well-developed reporting system such as one generated with R Markdown, provides a solid foundation and an efficient approach towards a better understanding of what the data represent.
Speaker: Radhika Etikala and Xuehan Zhang
Affiliation: Fred Hutchinson Cancer Research Center
Title: Using R Markdown to Generate Clinical Trials Summary Reports
Abstract_Sanitzed: The scope of the paper is to show how to produce a statistical summary report along with explanatory text using R Markdown in RStudio. Programmers write a lot of reports that describe the results of data analyses. There should be a clear and automatic path from data and code to the final report. R Markdown is ideal for this as it is a system for combining code and text into a single document. It is also an efficient, user-friendly tool for producing reports that do not need constant updating. RStudio is often used in the Pharmaceutical and Healthcare industries for analysis and data visualization, and the R Markdown tool can also be leveraged for creating reports and datasets for submission to regulatory agencies. This paper presents an RStudio program that demonstrates how to use R Markdown to generate a statistical table showing adverse events (AE) by system organ class (or preferred term) and severity grade along with text that explains the table. Collecting AE data and performing analysis of AEs is a common and critical part of Clinical Trials. A well-developed reporting system such as one generated with R Markdown, provides a solid foundation and an efficient approach towards a better understanding of what the data represent.