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Packet 9: Categorical Data Analysis

Description

Mind Map on Packet 9: Categorical Data Analysis, created by Joshua Chapple on 05/01/2019.
Joshua Chapple
Mind Map by Joshua Chapple, updated more than 1 year ago
Joshua Chapple
Created by Joshua Chapple over 3 years ago
7
1

Resource summary

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