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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The History and Development of Pinnacle 21
Pinnacle 21 has evolved and knowledge of its software has become an indispensable skill of every statistical programmer who works with CDISC standards.
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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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First Steps in Laboratory Dataset in SAS
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...
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The Problems (and solutions) of Real World Data in the Pharma Industry
To assess what is happening in the real world, rather than using clinical trials to collect data, researchers may use data which come directly from the market.
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The Logic of a Clinical Research Organization Programmer
This blog explains how programmers within clinical research organizations work through simple requests to build a robust system using SAS, UNIX and experience.
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The INTO Statement in PROC SQL to Create Macro Variables
A Member of the Quanticate Programming team writes about their opinions of the INTO statement in PROC SQL and its relation to SAS programmers.
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Creating High Quality Graphics in Clinical SAS Programming
This blog by Quanticate examines the PROC Template statement and options within Clinical SAS Programming to create high quality graphics
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Exploring CDISC Analysis Data Model (ADaM) Datasets
A Quanticate blog post exploring Analysis Data Model and ADaM Datasets, and how it is widely used in the submission of clinical trial information.
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