In this blog we share a case study of how we established and ramped up a functional service outsourcing partnership for biostatistics, programming and data management.

Topics: Statistical Programming, outsourcing, SAS

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...

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

 

To mark the occasion of our 30th anniversary, in late 2017 we conducted a brief survey to gain a snapshot of what professionals in data management, statistical programming, and biostatistics feel are the key challenges facing their functions, the top areas for skills development, and the clinical data areas they believe are likely to have the greatest impact on drug development.

We are now...

Topics: Statistical Programming, biostatistics, SAS, Biometrics, clinical data management

 

Photo by Nghia Le on Unsplash

CliPLab (Clinical Professional Laboratory) is Cytel’s premier training initiative for bridging the skills gap in biometrics and analytics within clinical development. Leveraging Cytel’s experience and reputation in biostatistics and clinical biometrics, the organization provides practical learning modules in clinical SAS programming, biostatistics, data...

Topics: Statistical Programming, SAS

Our Career Perspectives' series is back! 

Cytel has industry-leading experts in statistical programming with years of SAS^® Programming expertise, combined with in-depth knowledge of specific clinical subject matter, which allows for competent and on-time completion of tasks. Our extensive service offering includes CDISC migration, mapping to SDTM and statistical programming.

In the first blog...

Topics: Recruitment, Statistical Programming, Statistical Analysis, CDISC, SAS, careers, CRO, clinical research

PharmaSUG 2017 proved to be an inspirational and informative event. With over 200 paper presentations, posters, and hands-on workshops to choose from, delegates could select the topics most relevant to their statistical programming experience and interests.

PharmaSUG papers are split into 15 different academic sections, and Cytel was well represented in the Statistics and Pharmacokinetics...

Topics: Statistical Programming, biostatistics, SAS, careers

 

 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. 

 

Topics: Statistical Programming, biostatistics, SAS, R

 

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...

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

 

Nonlinear Mixed Effects Modeling (NONMEM) is a type of population pharmacokinetics/pharmacodynamics (popPK/PD) analysis used in Clinical Pharmacology research. The population PK approach combined with pharmacodynamics modeling, allows integrated analysis, interpretation, and prediction of the drug’s safety, efficacy, dose-concentration relationship, and dosing strategy. 

Topics: pharmacometrics, biostatistics, SAS, pharmacology, NONMEM

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

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...

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

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. 

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

 

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. 

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

 

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

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...

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