Course40 lectures32 h 55 min
Public Health 145 - Spring 2012
Maureen LAHIFF · University of California, Berkeley
About
PB HLTH 145 LEC 001 Sp12
Statistical Analysis of Continuous Outcome Data
Lectures
- Lecture 1: course overview - intro to regression
- Lecture 2: confidence intervals and tests in regression
- Lecture 3: residuals and assumption checking
- Lecture 4: assumption checking - residuals and the normal curve
- Lecture 5: using fitted values Y-hat; exponential growth
- Lecture 6: a quadratic model; intro to multiple regression
- Lecture 7: theory for one X; using multiple regression coefficients
- Lecture 8: patient satisfaction example; t tests; circle diagrams
- Lecture 9: sums of squares, R2; restricted vs full F tests, overall F test
- Lecture 10: Agresti and Finlay crime data
- Lecture 11: liver function data; categorical Xs; different slopes model
- Lecture 12: parallel lines model; identical lines mode
- Lecture 13: follow-up group comparisons
- Lecture 14: Pearson correlation correlation coefficient r; Fisher's z
- Lecture 15: partial correlation, partial R2
- Lecture 16: functional form: lowess plots, splines; robust variace estimates
- Lecture 17: outliers and influential points; adjusted R2; F tests in terms of R2
- Lecture 18: model building strategies; stepwise model selection
- Lecture 19: leaps and bounds algorithm; final cautions about regression
- Lecture 20: overview of anova; one-way fixed effects anova
- Lecture 21: anova assumptions; F tests; Tukey multiple comparisons
- Lecture 22: anova using regression
- Lecture 23: tests comparing medians for skewed distributions
- Lecture 24: two-way fixed effects anova; interacction plots
- Lecture 25: F tests for interaction; assumption checking for two-way anova
- Lecture 26: more on interaction; Bonferroni-Dunn multiple comparisons
- Lecture 27: nutritive value of fruit example
- Lecture 28: sums of squares from regression and from model terms
- Lecture 29: no interaction: main effects and follow-up comparisons
- Lecture 30: one-way random effects model; clinics example
- Lecture 31: maximum likelihood estimation
- Lecture 32: fitting random effects models with xtreg and xtmixed
- Lecture 33: introduction to repeated measures
- Lecture 34: models with one -within subjects- factor correlation structures
- Lecture 35: fitting repeated measures models; likelihood ratio and Wald tests
- Lecture 36: multiple comparisons for repeated measures designs; adjusted P values
- Lecture 37: anova for repeated measures
- Lecture 38: one within and one between subjects factors
- Lecture 39: calcium treatment vs. control example; jaw growth example
- Lecture 40: consolidation for random effects and repeated measures models
Credits and licence
- Institution
- University of California, Berkeley
- Teacher
- Maureen LAHIFF
- Year
- 2012
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics, Medicine and health
- Source
- Internet Archive
- Licence
- CC BY-NC-ND 3.0, as Internet Archive states it. Non-commercial use only, and no changed versions. Internet Archive's terms
- Who can watch
- Internet Archive gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed