CORDIS Project
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This project develops guidelines for calibrating existing data to enhance Bayesian analysis in social sciences. By improving the use of prior information, it aims to reduce sample sizes needed for studies while maintaining statistical power across various fields.
Scientists, organizations, and governments are moving in the direction of sharing their data.
This will lead to an unprecedented amount of available data that researchers could use as prior information in a Bayesian analysis.
While Bayesian methods are a promising method for using the growing amount of available information to increase statistical power in research studies, there is a great need for developing guidelines for calibrating existing data to create accurate informative prior distribu…
UNIVERSITEIT UTRECHT
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