Clinical research generates a large amount of data: protocol-defined assessments, CRF data, laboratory results, adverse events, exposure records, endpoint data, statistical analysis datasets, tables, listings, figures, metadata, and regulatory submission packages. Without standards, every sponsor, CRO, vendor, and system may…
How does a CRO interact with a sponsor? What is project-based delivery, what is FSP, and what hybrid models sit between them? What do the evidence – and real delivery practice – suggest for biometrics teams? In clinical development, outsourcing…
As we step into 2024, what better way to kickstart the year than with a curated list of the 15 BEST books in Biostatistics and Statistical Programming, handpicked by our team! 15 BEST books in Biostatistics and Statistical Programming Primer…
Clinical trials are a complex tapestry of patient data, and at the heart of this complexity lies the need for a nuanced understanding of each patient’s journey. The presentation of individual patient data is a crucial aspect, ICH E3 sheds…
In the ever-evolving landscape of pharmaceuticals, the need for innovative approaches to clinical trials has become paramount. Today, let’s delve into the game-changing realm of adaptive trial designs and how they are catalyzing the acceleration of drug development, especially for…
Still remember the XPT file limitations? Variable names confined to 8 characters, labels capped at 40, and data restricted to 200? If you’re curious about merging metadata with data, like utilizing Define-XML / Define-JSON, we’ve got some exhilarating news for…
Analysis of Covariance (ANCOVA) is a statistical technique used to examine whether population means of a dependent variable are equal across different levels of a categorical independent variable, while statistically controlling for the effects of other continuous variables known as…
What is Hardcoding? The public domain lacks a clear operating definition of hardcoding. Let’s review several definitions: Hardcoding: Inserting or correcting data directly into a program’s source code, bypassing external sources, when data is missing or needs correction [1]. Hardcoding:…
Welcome to Part 2 of our series on the “Win Ratio” methodology in clinical trials! Today, we explore the key differences between the Win Ratio and Hazard Ratio, examining their definitions, clinical trial design, endpoints, interpretation, application, focus, and type…
Let’s dive into the world of linear regression and explore the concepts of confidence intervals for model coefficients and predictive intervals for dependent variable. Coefficients represent the relationships between predictor variables and the response variable. However, real-world data is often…









