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 click. This is one of the reasons why its use has been on the rise in the last few years.

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


Career Perspectives: Interview with Andrea Hita, Biomedical Data Scientist

Posted by Cytel

Jun 7, 2018 8:39:00 AM

Cytel data scientists apply advanced statistical techniques including predictive modelling of biological processes and drug interactions to unlock the potential of big data.

In this blog from our Career Perspectives series, we talk to Andrea Hita, at Data Scientist at Cytel, to find out more about her career path, her current role at Cytel and her interests outside of work.

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Topics: Recruitment, Trial Design, adaptive designs, careers, model-informed-drug-development, clinical trials, data science, CRO, clinical research, R language, genetic algorithm


Developing the Next Generation of Skills for Statistical Programmers

Posted by Cytel

Apr 18, 2018 6:09:00 AM

Our recent Clinical Biometrics Survey explored the views of respondents from across the statistical programming, biostatistics, and data management functions to learn their top challenges, and most important perceived industry trends and skills development. In this blog, our Ajay Sathe gives his perspectives on the key areas of personal and knowledge development that he believes statistical programmers need to focus on to keep abreast of the evolving drug development landscape. 

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Topics: Statistical Programming, biostatistics, SAS, clinical data management, R language


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 source-code, documentation, data and examples of personal contributions and can be extremely useful for data scientists, statisticians and programmers alike who need to create custom analysis and visualizations. However, creating your first R-package can be a complex task for non-experienced users.
In this blog, I explain how to create a basic R-package which can be used as template for anyone interested in making a contribution. A previous knowledge on R programming is required, but you will not need to deal with technical aspects of the creation process because the R-Package structure is shared at the end.

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Topics: R programming, data science, R language


Round-Up:The 6 Hottest Blog Topics from 2017

Posted by Cytel

Dec 21, 2017 6:44:00 AM

As we prepare to close the door on 2017, we thought we would take a look back at the  topics which have been most popular on the Cytel blog this year.  It's an interesting insight on what pain points and opportunities feature highly on our global biopharma audience's radar.  Read on to learn which of our 2017 blogs have received the most interest from our audience so far.

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Topics: Oncology, Data Management, Cytel Strategic Consulting, Statistical Analysis, Trial Design Software, pharmacometrics, estimands, NONMEM, data science, R language


Signal Management Using R

Posted by Krishna Asvalayan

Dec 12, 2017 7:33:00 AM


Signal management is one of the most audited pharmacovigilance processes. It also generates one of the highest findings from audits. The ability of Marketing Authorisation Holders (MAHs) to make a robust signal management system that is fully audit/inspection ready sometimes falls short of expectations. Happily, technology can be used to make the process more scientific and rigorous.
Technology in the signal management process can be divided into two categories. The first one is the front end i.e. what platform (.Net/JAVA) is being used to develop the system. The second is the back end i.e. what programs/software (R, Python, SAS) are used to process the data. In this blog, we will focus on the second category and discuss how R specifically can help improve the signal management process.

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Topics: Statistical Analysis, data science, pharmacovigilance, R language, signal detection


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