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.
This blog provides a background on CDISC SDTM Standards, and the advantages of SDTM's application
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.
ACR response criteria measures the effectiveness of various medications in Rheumatoid Arthritis (RA) clinical trials. This blog also reviews techniques to assess equivalence across time points and compare treatment response curves in RA tri...
Review the use of Multiple Imputation (MI) for handling missing data in clinical trials and ask yourself if it's really worth the effort.
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.
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...