R Programming Datasets - Are they reliable & efficient for SAS Datasets?
In this blog we examine the use of R for programming datasets when performing statistical analysis in the pharmaceutical industry.
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Using R Programming for Clinical Trial Data Analysis
Create Tables, Listings and Figures (TFLs) using R Programming in your clinical trial data analysis, not as a replacement for, but rather as an alternative option to SAS.
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A Guide to CDISC SDTM Standards, Theory and Application
This blog provides a background on CDISC SDTM Standards, and the advantages of SDTM's application
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Integration of CDISC ADaM Datasets for ISS/ISE Submissions
In this article we share our experience of a recent integration using the ADaM standards in order to ensure the safety and effectiveness of interventions.
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Multiple Imputation for Handling Missing Data in Clinical Trials
Review the use of Multiple Imputation (MI) for handling missing data in clinical trials and ask yourself if it's really worth the effort.
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Subject: Sending Emails using VBA and SAS
Quanticate provide a step-by-step guide on how to send emails using SAS and Visual Basic for Applications (VBA), as well as a combination of both.
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Creating your own interactive dashboards in SAS
Can you easily create your own interactive dashboards in SAS? In this blog, Quanticate will explore whether SAS 4GL is all you need!
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WARNING: Transposing Data using PROC SQL
Quanticate outlines the in-depth problems of transposing data using PROC SQL and how tree traversal can be understood and implemented in SAS.
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Machine Learning in the Pharmaceutical Industry
Quanticate explores what Machine Learning is and the three types of Machine Learning and real-life examples from the pharmaceutical industry.
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Examples of Do Loops in SAS with PROC DS2
With few examples and tutorials, and even fewer Pharmaceutical specific learning resources on DS2, this blog provides statisticians and programmers with real world examples of Do Loops in SAS with PROC DS2 and a basic overview of Object Ori...
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