Verisian Blog

In this episode of the Verisian Community Podcast, we welcome Daniel Rolo, Director of Statistical Programming at Parexel to discuss the evolving landscape of statistical programming.

In this Verisian Community Podcast episode, we welcome Ritika Aggarwal from Novartis, who shares insights on the evolving landscape of statistical programming.

In this tutorial, we explain how to create a free trial, set up a study, run an analysis, and explore the results using the Tracer or Log QC module.

In this tutorial, we explain how to use the Verisian Tracer to explore a log analysis and make use of the file, library, and dataset traceability.

Root cause analysis (RCA) in clinical trial analyses, especially when using macros in SAS, is difficult and time consuming. We here describe how Verisian’s Tracer drastically improves the speed with which root causes can be identified and resolved by providing full traceability across programs and the dataset lineage of your study.

In this article, we review the Analysis Data Model’s (ADaM) limitations in communicating study analysis decisions, primarily due to its reliance on metadata traceability, and how AI adds to these challenges. As a response, we present the Verisian Validator as a solution by introducing code-level traceability

In this episode of the Verisian Community Podcast, we're thrilled to welcome Mansi Thakrar, a Statistical Programmer at Massachusetts General Hospital. This marks our second installment dedicated to discussing good programming practices, where Mansi shares her insights into what constitutes good statistical code in biostatistics.

In this episode of the Verisian Community Podcast, we welcome Shadab from Merck and Rahul from Johnson & Johnson. Our conversation begins with a discussion on the feasibility and desirability of achieving end-to-end automation in clinical programming. We then delve into the world of generative AI, exploring its potential to revolutionize

Root cause analysis when debugging SAS logs is manual, time consuming, and error prone - even more so when SAS macros are involved. Yet it is a crucial and required QC process for clinical trial analyses. In this article, we describe how Verisian’s Validator drastically improves the speed an

In this episode of the Verisian Community Podcast, we welcome Cornelia from Bayer, to discuss good programming practice in clinical programming. Cornelia highlights the critical aspects of writing good SAS code and adapting to languages such as R. Cornelia delves into how Bayer is embracing AI in clinical programming and emphasizes the pivotal role

In this episode of the Verisian Community Podcast, Kyle (Syneos) and Oliver (Bayer) discuss the challenges and opportunities of open source in clinical analysis. They look at the importance of people and communication within the industry and the need for a culture change before embracing new systems.

In the first episode of the Verisian Community Podcast, Tomás and Henning, along with industry expert Sunil, discuss how new technology can improve the world of statistical programming. They look at how the Verisian Validation Engine ensures programmers can guarantee the integrity of their analyses.

After a lot of hard work by the Verisian team, I’m so excited to announce the first release of the Verisian Validator! With the Validator, we want to change the way SAS execution logs are analyzed, offering an immersive experience to help programmers grasp all important log messages,

I'm so excited to launch the Verisian Community, dedicated to statistical programmers, statisticians, data managers, and all professionals working with clinical trial data. Our mission is to cultivate a global forum for the exchange of ideas, knowledge, and best practices, empowering you to contribu