Learn · Public Health 145 - Spring 2012

Lecture 1 of 402012-01-1849 min

Lecture 1: course overview - intro to regression

Maureen LAHIFF · University of California, Berkeley

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Public Health 145 - Spring 2012, University of California, Berkeley (at Internet Archive)
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All the lectures

  1. Lecture 1: course overview - intro to regression 49 min · Audio
  2. Lecture 2: confidence intervals and tests in regression 51 min · Audio
  3. Lecture 3: residuals and assumption checking 49 min · Audio
  4. Lecture 4: assumption checking - residuals and the normal curve 51 min · Audio
  5. Lecture 5: using fitted values Y-hat; exponential growth 50 min · Audio
  6. Lecture 6: a quadratic model; intro to multiple regression 51 min · Audio
  7. Lecture 7: theory for one X; using multiple regression coefficients 50 min · Audio
  8. Lecture 8: patient satisfaction example; t tests; circle diagrams 49 min · Audio
  9. Lecture 9: sums of squares, R2; restricted vs full F tests, overall F test 51 min · Audio
  10. Lecture 10: Agresti and Finlay crime data 51 min · Audio
  11. Lecture 11: liver function data; categorical Xs; different slopes model 51 min · Audio
  12. Lecture 12: parallel lines model; identical lines mode 47 min · Audio
  13. Lecture 13: follow-up group comparisons 49 min · Audio
  14. Lecture 14: Pearson correlation correlation coefficient r; Fisher's z 48 min · Audio
  15. Lecture 15: partial correlation, partial R2 52 min · Audio
  16. Lecture 16: functional form: lowess plots, splines; robust variace estimates 51 min · Audio
  17. Lecture 17: outliers and influential points; adjusted R2; F tests in terms of R2 50 min · Audio
  18. Lecture 18: model building strategies; stepwise model selection 52 min · Audio
  19. Lecture 19: leaps and bounds algorithm; final cautions about regression 52 min · Audio
  20. Lecture 20: overview of anova; one-way fixed effects anova 49 min · Audio
  21. Lecture 21: anova assumptions; F tests; Tukey multiple comparisons 53 min · Audio
  22. Lecture 22: anova using regression 51 min · Audio
  23. Lecture 23: tests comparing medians for skewed distributions 53 min · Audio
  24. Lecture 24: two-way fixed effects anova; interacction plots 49 min · Audio
  25. Lecture 25: F tests for interaction; assumption checking for two-way anova 52 min · Audio
  26. Lecture 26: more on interaction; Bonferroni-Dunn multiple comparisons 52 min · Audio
  27. Lecture 27: nutritive value of fruit example 50 min · Audio
  28. Lecture 28: sums of squares from regression and from model terms 49 min · Audio
  29. Lecture 29: no interaction: main effects and follow-up comparisons 49 min · Audio
  30. Lecture 30: one-way random effects model; clinics example 47 min · Audio
  31. Lecture 31: maximum likelihood estimation 49 min · Audio
  32. Lecture 32: fitting random effects models with xtreg and xtmixed 52 min · Audio
  33. Lecture 33: introduction to repeated measures 51 min · Audio
  34. Lecture 34: models with one -within subjects- factor correlation structures 48 min · Audio
  35. Lecture 35: fitting repeated measures models; likelihood ratio and Wald tests 50 min · Audio
  36. Lecture 36: multiple comparisons for repeated measures designs; adjusted P values 51 min · Audio
  37. Lecture 37: anova for repeated measures 46 min · Audio
  38. Lecture 38: one within and one between subjects factors 48 min · Audio
  39. Lecture 39: calcium treatment vs. control example; jaw growth example 49 min · Audio
  40. Lecture 40: consolidation for random effects and repeated measures models 38 min · Audio