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Handouts and Tutorials

The Cornell Statistical Consulting Unit creates and maintains a collection of handouts and tutorials that focus on the implementation and interpretation of commonly used statistical methods. These materials are searchable by the listed tags.

Showing content tagged with "Data interpretation"

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All Anova Categorical Data Data interpretation Generalized Linear Models JMP Logistic Regression Marginal means Mixed Models Modeling Multivariate Offsets Power R Random Effects Regression Sample Size SAS Software SPSS Stata Study Design
  • Using Adjusted Standardized Residuals for Interpreting Contingency Tables
  • Equivalence Testing
  • Interpreting Interactions in Logistic Regression
  • Interpreting Regression Coefficients for Log- Transformed Variables
  • Diagnosing and Avoiding Pseudoreplication
  • Overlapping Confidence Intervals and Statistical Significance
  • Categorical Variables in Regression: Dummy and Effect Coding
  • Post-hoc Analyses in SAS, SPSS, R, Stata and JMP
  • To Offset or Not: Using Offsets in Count Models
  • How are Estimated Marginal Means Calculated?

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