3. Establish causality
•Already known -- Prior Model
–But is it complete,
i.e., does it explain all effects ?
•Analyze relationships
– use expertise to decide
direction
»often obvious
» "common world knowledge"
»sometimes ambiguous
–smoking
Ø
Cancer Ø not-smoking
»often major true cause not captured in
data
•food color 10%,
•food
price 20%,
•buyer
gender 2%
•unknown 75%
•guess: ethnicity, income