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Packet 9: Categorical Data Analysis
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Mind Map on Packet 9: Categorical Data Analysis, created by Joshua Chapple on 01/05/2019.
Mind Map by
Joshua Chapple
, updated more than 1 year ago
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Created by
Joshua Chapple
about 5 years ago
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Resource summary
Packet 9: Categorical Data Analysis
Contigency Tables
Marginal Association
Aggregate over third variable
(n11*n22)/(n12*n21)
Conditional Association
Decide yes or no for the given third variable, then only pull those values of the the other 2 variables
(n11*n22)/(n12*n21)
Relationships of Variables
Mutual
(X,Y,Z)
glm(count ~ X + Y + Z , family = "poisson")
Joint
(X,YZ)
glm(count ~ X + Y + Z + YZ , family = "poisson")
Conditional
(XY,XZ)
glm(count ~ X + Y + Z + XY + XZ, family = "poisson")
Saturated
(XYZ)
glm(count ~ X + Y + Z + YZ + XY + XZ + XYZ , family = "poisson")
Uniform Association
(XY,YZ,XZ)
glm(count ~ X + Y + Z + YZ + XY + XZ, family = "poisson")
Joshua Chapple, Tommy Huber, Billy Hornby, Mariana Suarez
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