Maximising the Value of Time Series Data: Repeated Measures Analysis Using JMP
Daniel Tray (API Chemistry) and Simon Bate (Statistical Sciences), GlaxoSmithKline, Stevenage, United Kingdom
In this poster we will assess the benefits of using JMP to perform a mixed model repeated measures based analysis on time course data acquired from the optimisation of a pharmaceutical production process. These include being able to model reaction profiles over time whilst taking into account the inherent correlation structure that is a feature of data generated when taking multiple repeat samples. We will also discuss some advantages of this methodology over alternative analyse strategies, in terms of model reliability and accuracy.
