Introduction to (log) Odds Ratio
21-5-2008 | 1
Introduction to (log) Odds Ratio
Statistics and Methodology
Anna Lobanova: a.lobanova@ai.rug.nl
21-5-2008 | 2
Who is more likely to drink beer
on Queen¡¯s Day - students or
teachers?
21-5-2008 | 3
Example: Who is more likely to drink beer on Queen¡¯s Day students or teachers?
Drink
Don¡¯t drink
Total
Students
90
10
100
Teachers
20
80
100
Total
110
90
200
Group 1 = students, group 2 = teachers
Event ¨C drinking beer at Queen¡¯s Day
Question: Is one group more likely to drink beer on
Queen¡¯s Day than the other group? Or is this event
independent of professional status?
21-5-2008 | 4
Terminology & Notation:
A Two-way Contingency Table
Drink
Don¡¯t drink
Total
Students
n11
n12
n1+
Teachers
n21
n22
n2+
Total
n+1
n+2
n
21-5-2008 | 5
Terminology & Notation:
A Two-way Contingency Table
explanatory
variable
response variable
Drink
Don¡¯t drink
Students
n11 = 90
n12 = 10
n1+ = 100
Teachers
n21 = 20
n22 = 80
n2+ = 100
Total
n+1 = 110
n+2 = 90
n = 200
joint distribution
Total
marginal distributions
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