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.
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.
Quanticate explores how a big SAS code can be made straightforward and easy to understand, with techniques and best practices to achieve this in your SAS programs.
Can you easily create your own interactive dashboards in SAS? In this blog, Quanticate will explore whether SAS 4GL is all you need!
Quanticate outlines the in-depth problems of transposing data using PROC SQL and how tree traversal can be understood and implemented in SAS.
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...
The laboratory dataset is one of the core safety datasets and, at first glance, it could appear intimidating. This article will illustrate checks that are worth applying at the very beginning of programming work – these could be in addition...
Explanations and examples of 4 SAS tips to use in your day to day SAS Programming picked up from other programmers.
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.