As the Pharmaceutical sector boosts its interactions with regulatory agencies using R programming as one key instrument for drug development submissions, we face a dilemma that several members of statistics and statistical programming teams are not currently advanced R programmers. For many years SAS has been a powerful tool in the data analysis repertoire of pharma statisticians however the recent development of automation capabilities such as RMarkdown and R/Shiny have created a new venue to expedite access to consumable information in the form of reports, presentations or interactive graphics that can be produced efficiently and in standard format for all phases of a drug development or submission process. At Janssen we aim to improve the literacy in R programming and achieve nearly 100% adhesion by statistics and statistical programming teams in the coming 2-3 years. To achieve this goal, we are leveraging all types of training formats, from online training, to in-house instructor led seminar, to one-on-one mentoring. One of the key methods we have been developing is the use of RStudio.Cloud as a platform for internal crowd-led hands-on workshops where statisticians/programmers are "thought" to solve on-the-job real problems ranging from visualization to automated reports. In this presentation we will discuss our experience creating this program and share lessons learned, mistakes and successes.
Paulo Bargo
Janssen
Using RStudio.Cloud to advance R proficiency: a crowdsourcing training experience
As the Pharmaceutical sector boosts its interactions with regulatory agencies using R programming as one key instrument for drug development submissions, we face a dilemma that several members of statistics and statistical programming teams are not currently advanced R programmers. For many years SAS has been a powerful tool in the data analysis repertoire of pharma statisticians however the recent development of automation capabilities such as RMarkdown and R/Shiny have created a new venue to expedite access to consumable information in the form of reports, presentations or interactive graphics that can be produced efficiently and in standard format for all phases of a drug development or submission process. At Janssen we aim to improve the literacy in R programming and achieve nearly 100% adhesion by statistics and statistical programming teams in the coming 2-3 years. To achieve this goal, we are leveraging all types of training formats, from online training, to in-house instructor led seminar, to one-on-one mentoring. One of the key methods we have been developing is the use of RStudio.Cloud as a platform for internal crowd-led hands-on workshops where statisticians/programmers are "thought" to solve on-the-job real problems ranging from visualization to automated reports. In this presentation we will discuss our experience creating this program and share lessons learned, mistakes and successes.