Highlights from the PhUSE EU Connect

Posted by Cytel

Dec 11, 2018 6:36:00 AM

PhUSE EU Connect 2018 took place in Germany’s financial capital Frankfurt, 4th - 7th November and brought together a range of experts to tackle the most pressing issues facing statistical programmers today. The agenda was superb with 143 presentations in 16 different streams and nearly 30 posters. This year’s event theme ‘Future Forward’ did not disappoint and there were some very...

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Topics: adaptive designs, data science, careers, R programming, Statistical Programming, PhUSE, SDTM, machine learning, CDISC, FDA


Building interactive web applications using R Shiny

Posted by Gordhan Bagri

Aug 1, 2018 5:34:00 AM

By Gordhan Bagri and Munshi Imran Hossain with  H A S Shri Kishore

Shiny (from RStudio) is one of the most popular R packages. The package allows programmers to create applications with interactive user interfaces. These applications can then be deployed for non-programmers to perform analysis. Non-programmers can, therefore, make use of the statistical capabilities of R by means of point and...

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Topics: data science, Statistical Analysis, Cytel Strategic Consulting, R language, R programming


Creating an R-Package Template: A Guide

Posted by Ivan Navarro

Mar 8, 2018 6:05:00 AM

 

Photo by Steinar Engeland on Unsplash

By Ivan Navarro, Data Scientist at Cytel

R is an open-source implementation of ‘S’, the statistical programming language. With its open character and ability to extend its functionality using external packages, R allows users to create their own packages that are easily loadable into the core instance. In essence, R-packages are extensions that contain...

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Topics: R language, R programming, data science


Highlights from PhUSE 2017

Posted by Cytel

Nov 17, 2017 5:00:00 AM

PhUSE 2017 took place in Scotland’s capital city Edinburgh, 8th - 11th October, and brought together a range of experts to tackle the most pressing issues facing statistical programmers today.  We found this year's event informative and well attended. In this blog we share some highlights from the sessions and posters the Cytel team attended.  We will share Cytel's own contributions in a...

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Topics: biostatistics, Interim Analyses, Statistical Programming, R programming, clinical trials, FDA, CDISC


Career Perspectives: Interview with Namrata Deshpande, Senior Team Lead

Posted by Cytel

Sep 29, 2017 3:01:00 PM

Namrata Deshpande, Senior Team Lead will be participating in a round table discussion at the Women in Statistics event in California, October 19-21.

This is the first blog in a new 'Career Perspectives' series and we talk to Namrata to find out more on her career path, achievements, current role at Cytel and her interests outside of work. 

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Topics: biostatistics, Clinical Research Services, Clinical Development Strategy, Statistical Innovations in Clinical Development, Statistical Analysis, Statistical Programming, careers, East, R programming


Creating Data Visualizations with R and Shiny

Posted by Cytel

Jul 13, 2017 5:25:00 AM

By Tejasweeni Rajput

It’s been known for centuries that a picture can tell a thousand words. In an era of new technologies, and increasing volume of information, visualizations can help us to express complex data simply and effectively. Advanced technology is now available that allows statisticians and data scientists to drill down into the data sets to be analysed, and develop dynamic...

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Topics: biostatistics, Statistical Programming, Clinical Research Services, R programming


5 trends a statistical programmer needs to follow

Posted by Cytel

Jul 25, 2016 12:00:00 PM

Statistical programmers are in high demand within the biopharmaceutical industry, and within the dynamic world of clinical trials the part they play is ever evolving.  In this blog, we take a look at 5 trends which are shaping their roles in 2016 and beyond. 

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Topics: CDISC, Statistical Programming, SAS, R programming, big data


The Rise of R-should SAS programmers get up to speed?

Posted by Cytel

Jun 29, 2016 8:00:00 AM

 

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Topics: biostatistics, R programming, Simulations, SAS, Statistical Programming


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