IBM SPSS Statistics: Adv. Topics in Regression and Discriminant Analysis V19 ILO
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In London
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Location
London
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Different dates available
IBM SPSS Statistics: Adv. Topics in Regression and Discriminant Analysis V19 ILO Training CourseIBM SPSS Statistics: Advanced Topics in Regression and Discriminant Analysis (V19) is a one day instructor-led course that provides a practical, application-oriented introduction to some of the advanced statistical methods available in IBM® SPSS® Statistics for data analysts and researchers. Students will review several advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, as well as how to interpret the results. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence and interpret their output.
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- Statistics
- Basic IT
- Basic IT training
- Basic
Course programme
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 don't meet the assumption of proportionality
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IBM SPSS Statistics: Adv. Topics in Regression and Discriminant Analysis V19 ILO