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Beschreibung
Mindmap von Joshua Chapple, aktualisiert more than 1 year ago
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Erstellt von Joshua Chapple
vor etwa 5 Jahre
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Packet 9: Categorical Data Analysis
- Contigency Tables
- Marginal Association
- Aggregate over third variable
- (n11*n22)/(n12*n21)
- (n11*n22)/(n12*n21)
- Aggregate over third variable
- 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)
- (n11*n22)/(n12*n21)
- Decide yes or no for the given third variable, then only pull those values of the the other 2 variables
- Marginal Association
- Relationships of Variables
- Mutual
- (X,Y,Z)
- glm(count ~ X + Y + Z , family = "poisson")
- glm(count ~ X + Y + Z , family = "poisson")
- (X,Y,Z)
- Joint
- (X,YZ)
- glm(count ~ X + Y + Z + YZ , family = "poisson")
- glm(count ~ X + Y + Z + YZ , family = "poisson")
- (X,YZ)
- Conditional
- (XY,XZ)
- glm(count ~ X + Y + Z + XY + XZ, family = "poisson")
- glm(count ~ X + Y + Z + XY + XZ, family = "poisson")
- (XY,XZ)
- Saturated
- (XYZ)
- glm(count ~ X + Y + Z + YZ + XY + XZ + XYZ , family = "poisson")
- glm(count ~ X + Y + Z + YZ + XY + XZ + XYZ , family = "poisson")
- (XYZ)
- Uniform Association
- (XY,YZ,XZ)
- glm(count ~ X + Y + Z + YZ + XY + XZ, family = "poisson")
- glm(count ~ X + Y + Z + YZ + XY + XZ, family = "poisson")
- (XY,YZ,XZ)
- Mutual
- Joshua Chapple, Tommy Huber, Billy
Hornby, Mariana Suarez
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