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.
In this blog we examine the use of R for programming datasets when performing statistical analysis in the pharmaceutical industry.
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.
A Member of the Quanticate Programming team writes about their opinions of the INTO statement in PROC SQL and its relation to SAS programmers.
This video 'Big Data in Clinical Trials' was presented by Nick Burch, CTO at Quanticate at the 4th Annual ECDM conference this year in Princeton, NJ.
Quanticate looks at how companies can prepare for Big Data in the Pharmaceutical industry. Learn more.
Quanticate looks at how the statistical programming language R is often underrated within the Pharmaceutical Industry and the advantages of this appoach
Quanticate blogs about using Excel to write SAS code in the pharmaceutical industry which can make large scale amendments easier and quicker.
A slideshow by Quanticate focusing on the problems faced when dealing with Large SAS Datasets and ways to resolve this.
Quanticate examines issues of Clinical SAS Programming when users experience problems working with large SAS datasets that are close to a 1GB in size