The pharmaceutical industry thrives on precision and an unwavering commitment to patient outcomes. In this dynamic landscape, leadership in statistical programming extends beyond managing data or ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July. In May, when R ...

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and R, ...

The main aim of the present work is to establish connections between the theory of dynamic programming and the statistical decision theory. The paper deals with a nonMarkovian dynamic programming ...

Introduction -- Why use R for your statistical work? -- Whom is this book for? -- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of ...

Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the world’s largest AI-driven enterprises, today announced Domino SCE QC, a new capability that brings automation, ...

Writers and programmers have had a similar experience: staring at a blank screen, the blinking cursor mocking you. I've found a way to get that cursor moving. You might not think that statistics would ...