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Department of Public Health Sciences


BMTRY 702 : Advanced ANOVA and Regression


The course emphasizes advanced experimental designs employed in biological and medical research. It covers a variety of advanced ANOVA and regression topics such as advanced diagnostics, mixed models and repeated measurements and shows how these techniques can be applied to the analysis of a variety of experimental designs. Students should be familiar with the basic notions of random variables, statistical inference, multiple linear regression modeling, ANOVA and matrix algebra. We will make use of matrix notation throughout. The focus of this course is on both the underlying statistical theory and applications. It is also assumed that the student has familiarity with a statistical package such as SAS, STATA, or S-PLUS.


  • Multiple Regression Model (6.1-6.4, and 7.8)
  • Inference (6.5-6.6, 7.1-7.3)
  • Diagostics and Remedial Measures (7.6, 9.1-9.6, 10.1-10.3, 12.1-12.4 and handouts)
  • Generalized Least Squares (handouts)
  • Mixed Models (handouts)
  • Longitudinal Analysis (handouts)
  • Coding Schemes: Regression vs Anova (11.1-11.4, Chl6, Chl9)
  • Multiple Comparisons (Ch. 17)
  • Design of Experiments (Ch 26)
  • Randomized Block Designs (Ch 27)
  • Latin Squares (Ch 30)
  • Nested Designs (Ch. 28)
  • Repeated Measures and Related Designs (Ch 29)
  • Response Surface Methodology (Ch 32)


BMTRY 700, 701, 706, 707 or instructor consent. Typically offered each fall semester.


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