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IBM SPSS Statistics: Adv. Topics in Regression and Discriminant Analysis V19 ILO (0L019G)

Course Description Schedule Course Outline

Detailed Course Outline

Discriminant Analysis

  • Explain the basic theory of discriminant analysis and how cases are classified
  • Specify a two-group discriminant analysis and interpret the resulting output
  • Complete additional analysis and validation of the discriminant model

Binary Logistic Regression

  • Explain the basic theory and assumptions of logistic regression
  • Specify a logistic regression analysis
  • Interpret model fit, logistic regression coefficients and model accuracy

Multinomial Logistic Regression

  • Explain the basic theory of multinomial logistic regression
  • Specify a multinomial logistic regression analysis
  • Interpret model fit, logistic regression coefficients and model accuracy

Cox Regression

  • Explain the general principles of Cox regression
  • Specify a Cox regression analysis and interpret the resulting tabular and graphical output
  • Test the assumption of proportional hazards
  • Specify a Cox regression with time-varying covariate for variables that dont meet the assumption of proportionality