Robert Lustig, MD: How Can Econometric Analysis Shows The Correlation Between Sugar and Diabetes??
Speaker Robert Lustig defines an econometric analysis as a natural-history (time-series) study comparing changes over time in exposure (e.g., sugar consumption or availability) and outcome (disease prevalence) while attempting to factor out confounders. He states that, using country-by-country data over a decade, changes in sugar availability predict changes in diabetes prevalence and characterizes that as evidence of causation.
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