Clinical Reporting with {gtsummary}
Details
About the workshop:
The {gtsummary} package provides an elegant and flexible way to create publication-ready summary tables in R. A critical part of the work of statisticians, data scientists, and analysts is summarizing data sets and regression models in R and publishing or sharing polished summary tables. The {gtsummary} package was created to streamline these everyday analysis tasks by allowing users to easily create reproducible summaries of data sets, regression models, survey data, and survival data with a simple interface and very little code. The package follows a tidy framework, making it easy to integrate with standard data workflows, and offers many table customization features through function arguments, helper functions, and custom themes.
In this workshop participants will learn to build, customize, and report tables often found in medical journals and other research-related publications.
About the speaker:
Daniel D. Sjoberg (he/him) is a Senior Biostatistician at Memorial Sloan Kettering Cancer Center in New York City and a DrPH candidate in Biostatistics at Columbia University. His research interests include adaptive methods in clinical trials, precision medicine, and predictive modeling. He also enjoys R package development, creating many packages available on CRAN, R-Universe, GitHub, and internally at MSKCC. Daniel is the the winner of the 2021 American Statistical Association (ASA) Innovation in Statistical Programming and Analytics award.
Clinical Reporting with {gtsummary}