Robustness is a crucial indicator of an assay’s reliability. There are several ways to establish assay robustness – but not all strategies are equal. A statistical approach can help you not only maximize the information you get from each assay, it can also help you optimize your resources.
In this webinar, you will learn how to design a screening experiment and analyze the data using a fit model. With the right screening analysis tools, you can easily eliminate opportunities for error and arrive at conclusions faster.
In this video:
- Identifying an assay’s reliability under normal conditions.
- Demonstrating robustness in several dimensions to show that small changes in input do not affect assay efficacy.
- Streamlining method development processes to reduce costs.