BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski
Learning Bayesian Statistics
Misunderstandings in Epidemiological Data Interpretation
This chapter delves into the common misconceptions about epidemiological data, highlighting the differences between raw data and modeled estimates. It advocates for clearer communication from scientists to enhance public understanding of complex modeling assumptions in public health statistics.
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