The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.

Estimands and their Implications on Clinical Studies

August 4, 2020

Last year, Paul Terrill, Associate Principal of Strategic Consulting at Cytel, presented an engaging webinar on the topic of Estimands. The webinar covered a range of issues from what is an estimand to how to structure early discussions on estimands. On popular demand, Paul will re-run this webinar on August 13, 2020, and add recent developments on this topic. He will share the bottom-line on estimands and discuss their implications for a trial's objectives, design, data collection, statistical analyses and conclusions. Paul will also share his guidance on managing the communication about estimands between multiple internal stakeholders, gaining internal buy-in, and ensuring that a trial’s objectives, design, conduct, analysis and interpretation are in line with the addendum. Register today by clicking on the button.

registerContinue reading this blog to understand the concept of Estimands, their role in clinical trials and the purpose of the final ICH E9(R1) addendum.

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Year-End Roundup: Your Favorite Blog Posts of 2019

December 18, 2019

With only two weeks left for this fabulous year to end, we would like to thank all our blog subscribers and new readers for following and appreciating the Cytel blog. This year, we collaborated with several experts from both within and outside the company to bring to you a range of interesting topics including real-world evidence, AI, challenges in rare diseases, patient-reported outcomes, data management, and our popular series “The Good Data Submission Doctor” and “Career Perspectives”. In this blog, we share with you the top 5 Cytel blogs that resonated most with our community in 2019.

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Statistical Approaches to Overcome Challenges in Rare Disease Development

February 28, 2019


In honor of Rare Disease Day 2019 we share a new Cytel podcast featuring Cytel Strategic Consultant Ursula Garczarek discussing how innovative statistical approaches can overcome challenges in rare disease development. Below, you can access the podcast and a summary of some of Ursula's key insights from working in rare diseases and interacting with regulatory agencies for complex and innovative designs.

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Trends in Data Science: Podcast with Ursula Garczarek on The Effective Statistician

February 21, 2019

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 respondents suggesting a definition of data science.
Clear trend of investment in data science across organizational types with three-quarters of all respondents saying their organizations had a dedicated data science department.

An opportunity for improved clinical trial design by using data science techniques was recognized by the majority of respondents. In addition, respondents across all functions perceive the key opportunity for data science to be in maximizing the value of real-world data. 


In a recently published discussion on The Effective Statistician podcast ( a weekly podcast produced in association with PSI)  Ursula Garczarek, Associate Director Strategic Consulting at Cytel sat down with hosts Alexander Schacht and Benjamin Piske to discuss where the biopharma and life science industries are headed with the application of data science.

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Career Perspectives: Interview with Tina Checchio, Associate Director, Quantitative Pharmacology & Pharmacometrics

January 30, 2019

QPP remains at the heart of model based drug development. Short for Quantitative Pharmacology & Pharmacometrics, it refers to several types of quantitative modeling including meta-analysis, PK/PD, statistical modeling and the modeling of go-no-go decision rules. Cytel’s expert Quantitative Pharmacology and Pharmacometrics group delivers high quality solutions to help our customers get those decisions right.

In this blog we talk to Tina who lives in Stonington, Connecticut, to find out more about her career path, current role at Cytel, and her interests outside of work.

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Career Perspectives: Interview with Munshi Imran Hossain, Senior Data Scientist

October 23, 2018

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

In this blog we talk to Munshi Imran, who is based in Pune, India to find out more about his career path, current role at Cytel and his interests outside of work.

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Career Perspectives: Interview with Adam Hamm, Director of Biostatistics

September 20, 2018

At Cytel we believe that expert statistical input has the power to shape the future of clinical development: de-risking portfolios, accelerating timelines, and increasing the probability of success.

In this blog we talk to Adam who lives in North Carolina United States to find out more about his career path, achievements, current role at Cytel and his interests outside of work.

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Career Perspectives: Interview with Meredith Alm, Manager, QA Compliance

August 23, 2018

Cytel has grown significantly over the last 30 years, with operations across North America, Europe, and India. All of our processes, talent, and expertise are applied to maximizing the value of clinical data. At Cytel, quality comes first, and our QA team are committed to ensuring processes are in place to support our services.

In this blog we talk to Meredith who lives in Somerville, Massachusetts, to find out more about her career path, current role at Cytel, and her interests outside of work.

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Building interactive web applications using R Shiny

August 1, 2018

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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