(DOE) Design of Experiement in Pharmaceutical Development
Develop essential mathematics skills with expert instruction and practical examples.
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If you are looking for DOE for Pharmaceutical Development course so this is for you with cheap cost. To learn design space creation and over all design of experiment, you also need some knowledge of Risk assessment and critical parameter assessment. There are plenty of books available for this topic but its better to go through research papers related to specific field of interest.
That will give you a better perspective of it. Alos there are plenty of softwares like JMP and sigma plot which offer a free trial where you can learn to creat Design space with simple clicks. At the beginning of the twentieth century, Sir Ronald Fisher introduced the concept of applying statistical analysis during the planning stages of research rather than at the end of experimentation.
When statistical thinking is applied from the design phase, it enables to build quality into the product, by adopting Deming's profound knowledge approach, comprising system thinking, variation understanding, theory of knowledge, and psychology. The pharmaceutical industry was late in adopting these paradigms, compared to other sectors. It heavily focused on blockbuster drugs, while formulation development was mainly performed by One Factor At a Time (OFAT) studies, rather than implementing Quality by Design (QbD) and modern engineering-based manufacturing methodologies.
Among various mathematical modeling approaches, Design of Experiments (DoE) is extensively used for the implementation of QbD in both research and industrial settings. In QbD, product and process understanding is the key enabler of assuring quality in the final product. Knowledge is achieved by establishing models correlating the inputs with the outputs of the process.
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