It is an exciting time with respect to advances in data analysis and interpretation, according to Anderson. “Instrument manufacturers and software vendors like ACD/Labs are facing a new paradigm.

British Journal of Cancer - Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods ...

Generative AI, with its capability to produce content, can transform data into rich and helpful narratives. I see three ways in which the technology will improve data interpretation.

The wide range of methods for analysing microarray data can seem bewildering to researchers. This Review provides a guide to statistical analysis for the different stages of a microarray ...

Data analysis, the conduit from raw information to actionable insights, enhances decision-making and problem-solving.

These hurdles often lead to frustration over untapped potential, costly attempts to acquire talent or, worse, a resignation to continue operating without data-driven in ...

With higher volumes of analytical date being generated in pharmaceutical processing, digitization and platform integration are becoming increasingly important to implement.

Quantitative data involves measurable evidence, while qualitative data stems from observation and interpretation, often being more subjective. “Quantitative data provides the hard numbers, trends and ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Process analysis includes analyzing these data and using the results to identify ways to improve customer service. This illustrates the importance of data analysis in process examination.