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Clinical R Programming Master Classes : Over View of R Programmer Role - 2 | For SAS Programmers
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Hey there! Are you curious about how Clinical R Programming is revolutionizing clinical data analysis? Whether you're a seasoned SAS programmer or just starting out, this video is perfect for you! Let’s explore together why R Programming in Clinical Trial Analysis is becoming the go-to tool for pharmaceutical companies and data analysts.
🔴In this master class, I’ll walk you through:
Why R is a must-have skill for clinical trial analysis.
The benefits of using R, such as being free, open-source, and platform-independent.
How R Programming in Clinical Data Analysis simplifies complex tasks like protocol development, randomization, and blinding in clinical studies.
A comparison of R, SAS, and Python in the job market—spoiler: R is booming!
Using R to manage clinical trial datasets like SDTM and ADaM, making regulatory submissions seamless.
We’ll also look at the amazing packages in R, like ggplot2 for visualization and dplyr for data wrangling. And don’t worry, I’ll share real-world examples to make it super easy to follow.
🔴Why Should You Care?
As someone experienced in SAS, learning R opens up a world of opportunities. From healthcare to academic research, R for SAS Programmers is becoming an essential transition for staying ahead in the industry. If you’re new to clinical trial analysis, this video will show you how to use R for everything from patient safety evaluations to analyzing treatment effects.
#ClinicalRProgramming #RProgramming #ClinicalDataAnalysis #RProgrammingInClinicalTrials #RForSASProgrammers #ClinicalTrialAnalysis #DataAnalysisWithR #ClinicalResearch #RPackages #DataScienceInHealthcare #ClinicalSAS #ClinicalDataManagement #SDTM #ADaM #PharmaCareers #DataVisualizationWithR #FreeRProgrammingTutorials #LearnR #ClinicalProgramming #SASProgramming
🔴In this master class, I’ll walk you through:
Why R is a must-have skill for clinical trial analysis.
The benefits of using R, such as being free, open-source, and platform-independent.
How R Programming in Clinical Data Analysis simplifies complex tasks like protocol development, randomization, and blinding in clinical studies.
A comparison of R, SAS, and Python in the job market—spoiler: R is booming!
Using R to manage clinical trial datasets like SDTM and ADaM, making regulatory submissions seamless.
We’ll also look at the amazing packages in R, like ggplot2 for visualization and dplyr for data wrangling. And don’t worry, I’ll share real-world examples to make it super easy to follow.
🔴Why Should You Care?
As someone experienced in SAS, learning R opens up a world of opportunities. From healthcare to academic research, R for SAS Programmers is becoming an essential transition for staying ahead in the industry. If you’re new to clinical trial analysis, this video will show you how to use R for everything from patient safety evaluations to analyzing treatment effects.
#ClinicalRProgramming #RProgramming #ClinicalDataAnalysis #RProgrammingInClinicalTrials #RForSASProgrammers #ClinicalTrialAnalysis #DataAnalysisWithR #ClinicalResearch #RPackages #DataScienceInHealthcare #ClinicalSAS #ClinicalDataManagement #SDTM #ADaM #PharmaCareers #DataVisualizationWithR #FreeRProgrammingTutorials #LearnR #ClinicalProgramming #SASProgramming
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