Biostatistics 200B

Winter 2004 - Thomas R. Belin

Last Update: 03/16/2004

Class Information

Class Documents

Handouts:
- Handout for Day1
- Multiple comparison procedures
Homeworks
- HW#1 and Solutions to HW#1
- HW#2 and Solutions to HW#2 partA partB
- HW#3 and Solutions to HW#3
- HW#4 and Solutions to HW#4
- HW#5 youthsmoke data
Labs
- Lab1
- Lab2
- Lab3
- Lab4
- Lab5
  Midterm 2003
  - Question 1
  - Question 2 Data 1 Data 2
- Lab6
- Lab7
- Lab8
- Lab9
- Lab10
Data Sets
Some Useful SAS Macros

Miscellaneous

Lecture Summary

Week1 (Jan. 5-9): Single-factor(one-way) analysis of variance(ANOVA), matrix notation for regression/ANOVA.

Reading: Neter, et al. Chapter 5, Chapter 16.

Week2 (Jan. 12-16)
Degrees of freedom, contrasts/comparisons, orthogonal contrasts.

Reading: Neter, et al., Sections 17.1-17.3.

Week3 (Jan. 19-23)
Multiple comparison precedures, ANOVA diagnositics, transformation.

Reading: Neter, et al., Sections 17.4-17.9. Chapter 18.

Week4 (Jan. 26-30)
Two-way and multi-way ANOVA, interactions.

Reading: Neter, et al., Chapter 19,20,21,22.

Week5 (Feb. 2-6)
Strategies for design without replication, random and mixed effect models.

Reading: Neter, et al., Chapter 23,24.

Week6 (Feb. 9-13)
Analysis of covariance, randomization test, blocking, nesting repeated measures, review for midterm.

Reading: Neter, et al., Chapter 25,26,27,28.

Week7 (Feb. 16-20)
Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Neter, et al. Chapter 5, Chapter 16.
Week2 (Jan. 12-16): Degrees of freedom, contrasts/comparisons, orthogonal contrasts.

Reading: Neter, et al., Sections 17.1-17.3.

Week3 (Jan. 19-23)
Multiple comparison precedures, ANOVA diagnositics, transformation.

Reading: Neter, et al., Sections 17.4-17.9. Chapter 18.

Week4 (Jan. 26-30)
Two-way and multi-way ANOVA, interactions.

Reading: Neter, et al., Chapter 19,20,21,22.

Week5 (Feb. 2-6)
Strategies for design without replication, random and mixed effect models.

Reading: Neter, et al., Chapter 23,24.

Week6 (Feb. 9-13)
Analysis of covariance, randomization test, blocking, nesting repeated measures, review for midterm.

Reading: Neter, et al., Chapter 25,26,27,28.

Week7 (Feb. 16-20)
Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Neter, et al., Sections 17.1-17.3.
Week3 (Jan. 19-23): Multiple comparison precedures, ANOVA diagnositics, transformation.

Reading: Neter, et al., Sections 17.4-17.9. Chapter 18.

Week4 (Jan. 26-30)
Two-way and multi-way ANOVA, interactions.

Reading: Neter, et al., Chapter 19,20,21,22.

Week5 (Feb. 2-6)
Strategies for design without replication, random and mixed effect models.

Reading: Neter, et al., Chapter 23,24.

Week6 (Feb. 9-13)
Analysis of covariance, randomization test, blocking, nesting repeated measures, review for midterm.

Reading: Neter, et al., Chapter 25,26,27,28.

Week7 (Feb. 16-20)
Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Neter, et al., Sections 17.4-17.9. Chapter 18.
Week4 (Jan. 26-30): Two-way and multi-way ANOVA, interactions.

Reading: Neter, et al., Chapter 19,20,21,22.

Week5 (Feb. 2-6)
Strategies for design without replication, random and mixed effect models.

Reading: Neter, et al., Chapter 23,24.

Week6 (Feb. 9-13)
Analysis of covariance, randomization test, blocking, nesting repeated measures, review for midterm.

Reading: Neter, et al., Chapter 25,26,27,28.

Week7 (Feb. 16-20)
Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Neter, et al., Chapter 19,20,21,22.
Week5 (Feb. 2-6): Strategies for design without replication, random and mixed effect models.

Reading: Neter, et al., Chapter 23,24.

Week6 (Feb. 9-13)
Analysis of covariance, randomization test, blocking, nesting repeated measures, review for midterm.

Reading: Neter, et al., Chapter 25,26,27,28.

Week7 (Feb. 16-20)
Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Neter, et al., Chapter 23,24.
Week6 (Feb. 9-13): Analysis of covariance, randomization test, blocking, nesting repeated measures, review for midterm.

Reading: Neter, et al., Chapter 25,26,27,28.

Week7 (Feb. 16-20)
Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Neter, et al., Chapter 25,26,27,28.
Week7 (Feb. 16-20): Multiple logistic regression, interpretation of fitted logistic regression model.

Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.

Week8 (Feb. 23-27)
Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Hosmer and Lemeshow, et al., Chapter 1, 2, 3.
Week8 (Feb. 23-27): Model-building strategies and goodness of fit for logistic regression models.

Reading: Hosmer and Lemeshow, et al., Chapter 4,5.

Week9 (Mar. 2-6)
Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Hosmer and Lemeshow, et al., Chapter 4,5.
Week9 (Mar. 2-6): Logistic regression for different sampling models, multinomial logistic models, ordinal logistic models, sample-size considerations and exact methods.

Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]; Reading: Hosmer and Lemeshow, et al., Chapter 6,7.

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]

Biostatistics 200B

Winter 2004 - Thomas R. Belin

Last Update: 03/16/2004

Class Information

Class Documents

Miscellaneous

Lecture Summary

[ Prospective Students | Current Students | Alumni | Courses & Seminars ] [ The Department | People | News & Events | Other Links ] [ UCLA School of Public Health | UCLA Home Page ]

[ Prospective Students | Current Students | Alumni | Courses & Seminars ]
[ The Department | People | News & Events | Other Links ]
[ UCLA School of Public Health | UCLA Home Page ]