Biostatistics 200B

Winter 2007 - Thomas R. Belin



Last Update: 1/8/2007


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Class Documents

Miscellaneous

Lecture Summary

Week 1 (Jan. 8-12)
  • Single-factor(one-way) analysis of variance(ANOVA), matrix notation for regression/ANOVA

    Reading: Kutner, et al. Chapters 5, 15, 16
    Week 2 (Jan. 15-19)
  • Degrees of freedom, contrasts/comparisons, orthogonal contrasts

    Reading: Kutner, et al., Sections 17.1-17.3
    Week 3 (Jan. 22-26)
  • Multiple comparison precedures, diagnositics, transformations, two-way ANOVA, interactions

    Reading: Kutner, et al., Sections 17.4-17.9, Chapters 18, 19
    Week 4 (Jan. 29 - Feb. 2)
  • Strategies for design without replication, multi-way ANOVA

    Reading: Kutner, et al., Chapters 20, 23, 24
    Week 5 (Feb. 5-9)
  • Blocking, analysis of covariance, review for midterm.

    Reading: Kutner, et al., Chapters 21, 22
    Week 6 (Feb. 12-16)
  • Randomization tests, random effect models, fractional factorial/split-plot/Latin-square designs

    Reading: Kutner, et al., Section 16.9, Chapters 25, 26, 27, 28, 29, 30
    Week 7 (Feb. 19-23)
  • Simple/multiple logistic regression, maximum likelihood estimation for logistic regression

    Reading: Hosmer and Lemeshow, Chapters 1, 2
    Week 8 (Feb. 26 - Mar. 2)
  • Interpretation of fitted logistic regression model, odds ratios, discriminant analysis

    Reading: Hosmer and Lemeshow, Section 1.5, Chapter 3
    Week 9 (Mar. 5-9)
  • Goodness of fit for logistic regression models, model-building strategies

    Reading: Hosmer and Lemeshow, Chapters 4, 5
    Week 10 (Mar. 12-16)
  • Logistic regression for different sampling models, matched case-control studies, propensity-score methods

    Reading: Hosmer and Lemeshow, Chapters 6, 7

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