Case Study: From Trial Design to CDISC Submission

Posted by Cytel

May 17, 2017 7:22:51 AM

This new case study shares how Cytel supported a specialist biopharmaceutical company from Phase 2 trial design through to an FDA submission for their lead product candidate. We assembled an expert multidisclipinary team of data coding specialists, biostatisticians, statistical programmers and medical writers to support a number of the studies in the ongoing program, including pivotal Phase 2b and 3 trials, and the subsequent creation of the Integrated Summary of Safety (ISS) and Integrated Summary of Effectiveness (ISE). 

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Topics: Statistical Programming, Case Study, biostatistics, CDISC


Better Management and Outputs in Statistical Programming

Posted by Cytel

Apr 5, 2017 11:39:42 AM

Statistical programmers at all levels can make a significant impact on streamlining delivery, improving efficiency, and importantly ensuring quality.  At a recent PhUSE Single Day event , Cytel's Sunil Gupta gave a very well received presentation on how best to achieve high quality deliverables while maintaining efficiency, noting that 3 key components should be observed:

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Topics: Statistical Programming, biostatistics, Biometrics


Syntax and Variables in R: A Primer

Posted by Cytel

Feb 21, 2017 9:39:07 AM

 

 In a previous blog, we provided an overview of basic data structures in R.  In this follow up piece, we will provide a snapshot of basic syntax in R for programmers who want to get up to speed in this increasingly important programming language. 

 

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Topics: Statistical Programming, biostatistics, SAS, R


The Making of a CDISC Trainer

Posted by Cytel

Feb 6, 2017 9:10:00 AM

 

CDISC is a global, nonprofit charitable organization whose mission is ‘to inform patient care and safety through higher quality medical research’.  The organization delivers this mission through the development of data standards designed to streamline clinical research- these standard formats are increasingly expected for use in data submissions by regulatory authorities. Importantly, data standardization also brings significant benefits to the industry- in the CDISC 2014 Business Case (1),  it is noted that:

 “For those developing regulatory eSubmissions, using updated baseline numbers for the time and cost of getting a drug to market, it can be found that ~ $180M can be saved per submission (18% of the total cost). An average of two years can be saved off of an average 12-year clinical development program lifecycle – just by standardizing data”.

It’s therefore critical that the biopharma and CRO industries develop the next generation of data managers, statisticians and programmers with strong knowledge of the CDISC standards.


Angelo Tinazzi has more than 20 years’ experience in data-management and statistical programming and is Director of Clinical Data Standards and Data Submission at Cytel.  He has been a member of the European CDISC Committee since 2015 and is a member of the CDISC ADaM team. Taking the next step in his journey as a data standards expert, Angelo is now a "candidate trainer" with CDISC –working towards becoming an “Authorized CDISC Instructor”.  In this blog we find out more from Angelo about his experiences and the role of the CDISC trainer.

 

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Topics: Statistical Programming, Training and Education, Clinical Data, CDISC, SDTM, ADaM, Biometrics, CDASH


Accelerating development with combined SAD/MAD approach

Posted by Cytel

Jan 30, 2017 9:50:24 AM

Single ascending dose (SAD) and multiple ascending dose (MAD) studies are typically the first in human studies.  They seek to gain information on safety and tolerability, general pharmacokinetic (PK) and pharmacodynamic ( PD)  characteristics, and of course identify the maximum tolerated dose (MTD).

Conventionally, SAD  and MAD studies were conducted separately, but increasingly are combined into an ‘umbrella’ protocol which addresses both SAD and MAD objectives.

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Topics: Cytel Strategic Consulting, Cytel Consulting, Statistical Programming, Phase 1, Dose-Finding, Compass, Phase I, biostatistics, adaptive designs, adaptive trials


Data Structures in R: A Primer

Posted by Cytel

Jan 19, 2017 7:05:00 AM

 

R is on the rise in biopharma, and as we have previously discussed on the blog, it is now time for SAS programmers to get up to speedwith this popular and powerful programming language.  Indeed, one of the advantages of R is its ability to integrate with other languages like C, C++, Python and SAS. Its strong graphical capabilities allow output in PDF, JPG, PNG, and SVG formats and table outputs for LaTeX and HTML. Importantly, as an open source resource, there is a strong community around R and extensive support for users in the form of forums like R-bloggers, StackOverflow and GitHub Repository

In this blog, we’ll provide an overview of R basic structures for programmers.  

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Topics: Statistical Programming, biostatistics, SAS, Rstats, R


Infographic: 9 Do's and Don'ts to Ensure Independence of QC in Statistical Programming

Posted by Cytel

Nov 14, 2016 8:13:29 AM

In our last blog, we shared some of Angelo Tinazzi and Cedric Marchand's recommendations on how to ensure independence of QC in statistical programming.  Now, we've put together an infographic highlighting some key do's and don'ts in a handy checklist.  

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Topics: Statistical Programming, biostatistics, SDTM, ADaM


How to ensure independence of QC in statistical programming 

Posted by Cytel

Nov 11, 2016 10:05:14 AM

A solid and robust QC process is one vital component of ensuring quality programming delivery. Angelo Tinazzi and Cedric Marchand presented at the PhUSE conference recently on the topic of ‘What Auditors want’. As part of this well received presentation, the duo discussed the question of independence of QC and how to make sure this is fully observed.

In this blog we’ll walk through their recommendations to ensure independence of QC in programming.

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Topics: Trial Quality, Statistical Programming, Statistical Analysis, CDM


R Beyond Statistics

Posted by Cytel

Oct 25, 2016 7:59:00 AM

 

Use of R is a hot topic among statisticians and programmers in the pharmaceutical industry.  At the recent PhUSE conference in Barcelona there was a clear uplift in interest in the  language and a number of sessions explored introductory principles and examples of how R can be used in practice.  Cytel's Namrata Deshpande presented on the use of R beyond Statistics through a case study of the development of a user friendly tool deploying non-statistical packages in R to enable clinical decision making. The talk won first prize in the Trends and Technology track at the PhUSE conference.  In this blog, we'll discuss some of the aspects presented and share Namrata's slides for download.

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Topics: Clinical Research Services, Statistical Programming, clinical development, Rstats, R


Cytel Infographic: 6 Hot Topics from PhUSE 2016

Posted by Cytel

Oct 18, 2016 9:38:00 AM

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Topics: Statistical Programming, Clinical Data, SAS, Rstats, R


The evolving role of the modern statistical programmer

Posted by Cytel

Oct 13, 2016 9:16:00 AM

Statistical programmers play a key role in turning the data from clinical trials into knowledge and supporting the development of new medicines.  In a dynamic industry with demands such as CDISC compliance, data transparency initiatives, big data, and cost pressures the role is evolving to become ever more multi-dimensional. Statistical programmers now have the opportunity to follow their specific interests and specialize in a range of areas.

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Topics: Clinical Research Services, Statistical Programming, clinical development, SAS


The CRO role in Data Standards Governance

Posted by Cytel

Aug 2, 2016 10:30:00 AM

Editor's note( this blog was refreshed in April 2018)

As CDISC compliant submissions become increasingly expected, biopharmaceutical companies are considering how to approach the issue of data standards governance.  Standards governance is a lynchpin in the management of CDISC compliance and is important for promoting standards awareness within organizations. It’s also an acknowledged hot topic in the industry.

It has traditionally been common practice for biopharma companies to outsource their CDISC conversion of legacy data for the purpose of publications and submissions to expert CROs.  While large biopharma organizations may have dedicated in-house teams deployed to the management of standards governance, the dynamic nature of CDISC requirements means companies can struggle to find the resources to keep up to date and provide the best interpretation of the documentation. Outsourcing can be an option to ensure dedicated staff are available to manage and monitor these aspects and ensure companies remain submission ready.

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Topics: Data Management, Clinical Research Services, Statistical Programming, Clinical Data, EDC, database build, data manager, CDM, CDISC, SDTM, ADaM, CDASH


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


Wild Horses: How StatXact is helping conservation project in Mongolia

Posted by Cytel

Jul 7, 2016 10:30:00 AM

 

Why do we do what we do?  At Cytel we have always been driven to deliver benefits in the service of human health, and ultimately to bring new drugs to the patients who need them.  In the context of our work in statistical software, we have recently had the opportunity to support an important conservation project defined by a similar passion to make a difference.  

While our core focus has always been in biostatistics, and thus in the life science industry, our StatXact statistical software is used by customers across a broad spectrum of natural and social sciences thanks to its ability to handle small sample sizes. 

 

The Association Takh is one such customer.  Takh is dedicated to the re-introduction of the world’s last wild horse, as well as conservation in Mongolia and improvement of the lives of Mongolian herders.  (1) In 2004 and 2005 the association reintroduced 22 Przewalski’s horses( one of the world’s most endangered species)  from Le Villaret in southern France to the buffer zone of Khar Us Nuur National Park in the Khomyn Tal herder community of western Mongolia.

 

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Topics: StatXact, Statistical Programming, exact statistics, Simulations, biostatistics, non parametric analysis


PROC MCPMod in Bronchodilator Case Study

Posted by Cytel

Jul 5, 2016 8:00:00 AM

 

At a recent PhUSE SDE, Cytel’s Chitra Tirodkar presented how East PROC MCPMod could be used  to  help solve the problem of uncertain true dose-response relationship in a bronchodilator study.  In this blog we summarize some of the issues, and make Chitra's slides available for download. 

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Topics: East, Statistical Programming, Dose-Finding, Dose Selection, MCP-Mod, EAST 6.4, SAS


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


Sharpening your Advanced SAS Skills: Interview with Sunil Gupta

Posted by Cytel

Jun 21, 2016 10:30:00 AM


Sunil is an Associate Director of Statistical Programming at Cytel and has over twenty-five years of experience in the pharmaceutical industry.  He is also an international speaker and best-selling SAS author.  Most recently, Sunil contributes his knowledge as a CDISC Oncology ADaM reviewer and has taught his CDISC online classes with the University of California at San Diego.  Sunil has MS in Bioengineering from Clemson University and a BS in Applied Mathematics from the College of Charleston.
Recently, Sunil published a book, 'Sharpening your Advanced SAS Skills’ a follow up to his popular and well respected ‘ Sharpening your SAS Skills’. In this blog we find out more and offer blog readers the chance to win a copy of the new book!

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Topics: Statistical Programming, Training and Education, biostatistics, SAS


Managing DMC analysis- an innovative programming solution

Posted by Cytel

Jun 14, 2016 8:00:00 AM

At Cytel, we are very often asked to get involved in DMCs ( Data Monitoring Committees)  in a variety of capacities. Our statistical experts are recognized for their work in many of the areas related to DMCs including-group sequential and adaptive designs, multiplicity, missing data, and decision sciences.  One key operational management issue when producing analysis for DMCs  is that rules must be defined so that trial unblinding is not compromised and bias remains controlled.  In this blog, we will explore an innovative approach developed by members of our statistical programming team to improve the efficiency of this process, while maintaining the highest levels of data security. 

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Topics: Clinical Research Services, Statistical Programming, Interim Analyses, Blind and Unblind Trials, Clinical Data, ACES, biostatistics, DMC


Scrambled Data – A Population PK/PD Programming Solution

Posted by Cytel

May 17, 2016 8:30:00 AM

Cytel participated at PharmaSUG 2016 in Denver recently.  A key event on the statistical programming global calendar, the topics included Submission Standards, Application Development and Data Visualizaton. Sharmeen Reza, Associate Director Statistical Programming at Cytel was selected to present a paper presentation in the Statistics and Pharmacokinetics stream on the topic of Scrambled Data- A Population PK/ PD Programming Solution.  The presentation was very popular and well attended, so we've included an abstract of the presentation  below, and made her slides available for download. 

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Topics: Statistical Programming, pharmacometrics, biostatistics, pharmacology


Lost in Traceability- From SDTM to ADaM

Posted by Cytel

May 12, 2016 10:18:00 AM

 

Once upon a time Hansel and Gretel laid a trail of breadcrumbs which they followed to find their way back home.  Their story can be an allegory for the concept of traceability in clinical data where we need to  lay a clear path to ensure that the results we have created can be reproduced. This blog looks at some aspects of a presentation Lost in Traceability  by Angelo Tinazzi at the CDISC EU Interchange. 

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Topics: Clinical Research Services, Statistical Programming, FDA, Clinical Data, CDISC, SDTM, ADaM, EMA, PMDA, Biometrics


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