In 2018, Cytel ran a qualitative survey among biostatisticians and programmers on trends in data science and perceptions about the goals, barriers and future of the field in the biopharma and life science industry.  Our analysis and report revealed a range of insights from the respondents including :

Lack of shared understanding of what data science represents with less than 1 in 7 of all...

Topics: Clinical Research Services, Statistical Analysis, machine learning, data science, real world evidence, quantitative decision-making, PSI

Happy New Year! As we look ahead to future successes and the new advancements in drug development that 2019 will bring, we are taking a moment to reflect on the topics that resonated most with our community on the Cytel blog in 2018. While these 6 most popular blogs encompass a variety of topics from across the data science, statistics, and statistical programming space, they all have in...

Topics: clinical research, clinical trials, adaptive trials, feature selection, Clinical Data, CDISC, meta-analysis, data science

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...

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

 

The biopharmaceutical and healthcare industries now collect more data than ever before due to advances in the variety of information sources combined with the ability to store vast quantities of diverse data. Sophisticated machine learning (ML) and artificial intelligence (AI) techniques allow us to accessand analyze any combination of a multitude of data sources. The way that traditional...

Topics: biostatistics, data science, real world evidence

 

JSM 2018, ASA’s annual gathering of over 6500 attendees attracted statisticians and data scientists to the beautiful city of Vancouver on July 28 – August 2. The conference offers a one of a kind opportunity for statisticians to exchange ideas and explore opportunities for collaboration. In this blog, we will provide access to our team's slide decks from the event, as well as some of their...

Topics: biostatistics, adaptive designs, data science, Bayesian, careers

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...

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

A recent article published by Cytel authors Samadhan Ghubade, Sharayu Paranjpe, Kushagra Gupta, Anil Gore and colleague Krishna Asvalayan in the journal Current Science, tackles the topic of adverse drug reactions (ADRs) – a matter of great concern in drug research. The authors focused their research on drugs which had been either banned or withdrawn due to a serious problem of ADRs and...

Topics: data science, signal detection, pharmacovigilance, Statistical Analysis, Cytel Strategic Consulting

A number of the Cytel team were in Amsterdam, 3rd- 6th June 2018 for the PSI Conference. This year’s conference was held at the magnificent Beurs Van Berlage, a venue full of history and interesting architectural features. We took the opportunity to give delegates a first look at OK GO, our new clinical trial Go/No-Go decision-making software in this magnificent setting.

In this blog, we'll...

Topics: biostatistics, adaptive designs, PSI Conference, Clinical Data, Adaptive Clinical Trials, data science, estimands, Bayesian

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.

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

PSI is a global member organization dedicated to leading and promoting best practice and industry initiatives for statisticians in the biopharmaceutical industry. The PSI annual conference is going from strength to strength, attracting increasing numbers of delegates from Europe and beyond. With the 2018 conference taking place in Amsterdam in only a month’s time, we took the opportunity to...

Topics: biostatistics, data science, quantitative decision-making

 

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...

Topics: R language, R programming, data science

 News Medical interviewed Dr. Rajat Mukherjee, Statistician, and Director of Data Science at Cytel to investigate the potential of data science in clinical development.

Topics: data science, big data, Precision Medicine, biomedical signals, Simulation & Biomarkers

The problem of feature selection

The explosion in the availability of big data has made complex prediction models a conspicuous reality of our times. Whether in banking, financial services and insurance, telecoms, manufacturing or healthcare, predictive models are increasingly used to derive inference from data.

Most of these models use a set of input variables, called features, to predict...

Topics: data science, genetic algorithm, big data

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.

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

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. ...

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

By Munshi Imran Hossain, Software Affiliate at Cytel

Biomedical signals are electrical signals collected from the body. Some of the most common ones are the electrocardiogram (ECG) and the electroencephalogram (EEG). These signals are of great value because they can be used for diagnostic purposes. Importantly, most of them can be collected using non-invasive methods. These attributes,...

Topics: data science, signal processing, biomedical signals, Fourier