Data Insight Webinar
Modern Statistical Modelling
A simpler, quicker way to extract meaning from your data. Join us on 29 July, 10:30 BST I 11:30 CEST
Successful companies in chemical, biotech, life-sciences process industries apply statistical methods to accelerate innovation and reduce production cost. Explore this series of industry led papers and events to learn how to discover insights in your data, reduce time to market, uncover and solve blind spots in processes.
In this webinar by Chemistry World, we will show how Fujifilm Diosynth Biotechnologies uses the DoE and Analyse platforms in JMP to demonstrate how small scale models can be used to predict large scale results.
In The Art of Statistics David Spiegelhalter shows us how to extract knowledge from raw data, think critically (like a statistician) and explains why a basic grasp of statistical literacy is more important than ever if we hope to separate fact from fiction. Read a free chapte.
Standard biological experimentation methods today fall short of scientists’ needs in the increasingly data-rich environment of early-phase biopharmaceutical development. Biologists need alternatives to deliver more precise outcomes, more reproducibly and on a shorter time scale.
Has your organization outgrown one-factor-at-a-time experimentation? This paper has real-world case studies on two organizations that discovered best practices for collecting and analyzing new, relevant data to efficiently optimize their processes
The pandemic taught us that new therapies and vaccines can be developed in a shorter time frame than ever before. Julia O'Neill talk about how pharma companies can bridge statistics and science to develop reliable products fast and cost effective. . Strategic application of statistical modeling to stability data is on the critical path for commercialization of these urgently needed new therapies.
Julia O'Neill describes how statistical analysis can be a vital tool for accelerating the discovery and creation of viable new products, and for engineering the processes through which they can be delivered at scale. This marriage is the way to get things “right first time”, reducing development risks and relieving the pressures of the modern market.
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