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STAT 705

SPRING 2019

Data Analysis II

Instructor: Yen-Yi Ho Office: LeConte 209G

Class Meetings:

Wednesday/Friday 9:40AM - 10:55AM in LeConte 201A

Dr. Ho's office Hours: Wednesday/Friday 11 - 12AM or by appointment (LeConte 209G)

Email: hoyen@stat.sc.edu

Textbook:

1.    (KNN)Kutner MH, Nachtsheim CJ, Neter J, and Li W. (2005) Applied Linear Statistical Models. 5th Edition. McGrow-Hill/Irwin.
2.    (RSB) Rosner B. (2000) Fundamentals of Biostatistics. 5th Edition. Duxbury.
3.    (HL) Hosmer DV and Lemeshow S. (2013) Applied Logistic Regression. Third Edition. Wiley and Son.
4.    (AG) Agresti A. (2013) Categorical Data Analysis. 3nd Edition. Wiley and Son.
2. John Verzani's SimpleR notes. https://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf

3. Casella and Berger. Statistical Inference (2nd edition). Textbook used for STAT 712.

Supplemetary Books (NOT required):

4. "Linear Models with R" by Faraway, J.J.
5. "Extending the Linear Model with R" by Faraway, J.J.
6. "An R and S-plus Companion to Applied Regression" by Fox, J.
7. "Statistical Analysis and Data Display" by Heiberger and Holland.
8. "Statistical Research Methods in the Life Sciences" by Rao, P.V.

Date	Weekly topic	Homework	R code	SAS Code	Reading
Week Jan 16	Syllabus Lecture 1: Test for Binomial Proportions 1. Binomial Proportions 2. Bayesian analysis of two proportions	Homework 1	Homework template BinomPost.R		RB Ch7 RB Ch10
Week Jan 23	Lecture 2: RR and OR 1. Relative risk, odds ratio Lecture 3: Delta method for confidence interval Lecture4: Contingency Table: Fisher exact test Lecture5: Chi-squared test Lecture6: Confouding	Homework 1 Due (1/28) Homework 2 task1.csv			RB Ch13
Week Jan 30	Lecture 7: Case-Control Methods, Hierarchy of Scientific Evidence in Reserach Studies Lecture 8: Introduction to Logistic Regression 1. Bernoulli distribution 2. Logistic model 3. Interpreataion of logistic coefficients 4. Connection to 2x2 table 5. Diagnostics		Logistic.R Logistic2.R		HL Ch1
Week Feb 6	Lecture 9: Statistical Inference of Logistic Regression 1. Likelihood function 2. Maximum likelihood estimation by IRLS	Homework 2 Due (2/11) Homework 3			HL Ch2, Ch3
Week Feb 13	Lecture 10: Classification using Logistic Regression 1. ROC curves 2. Cross-validated errors 3. Bootstrapping for error assessment				HL Ch5
Week Feb 20	Lecture 11: Conditional Logistic Regression 1. Model 2. Conditional Likelihood 3. Application to mathced case-control studies	Homework 3 Due (2/25) Homework 4			HL Ch7 AG Ch10
Week Feb 27	Lecture12: Multinomail Logistic Regression Lecture 13: Log-Linear Regression for Count Data 1. Poisson model 2. Log-Linear Regression 3. Interpretation of Coefficients
Week March 6	Lecture 14: Log-Linear Regression for Count Data (Cont.) MidTerm: 3/8 at 9:40am LeConte 201A				AG Ch8
Week March 13	Spring Break-No Class
Week March 20	Lecture 14: Log-Linear Regression for Count Data (Cont.)	Homework 4 Due (3/25) Homework5
Week April 3	Lecture 15: Fixed vs. Ramdom effects models Lecture16: GLMM	Oral Instruction 10 rules Homework 5 Due (4/8)			KNN Ch25
Week April 10	Lecture 17: Non-Linear Regression Models				KNN Ch27 HLCh7 AG Ch12
Week April 17	Lecture 18: Multiple Comparisons 1. Bonferroni Correction 2. False Discovery Rate
Week April 24	Project Presentations 1. Yizeng Li paper 2. Yun Yang paper 3. Yuchen Mao paper 4. Xiran Wang paper 5. Caoline Kerfonta paper 6. Tong Shan paper1 paper2 7. Shan Zhong 8. Jianhua Hu paper 9. Nubaira Rizvi paper 10. Quan Li paper1 paper2 11.David Denteh 12. Yang He	Oral Presentation Dates
Week May 6	Final Project Due May 06 at 5P	Final Take Home Exam

STAT 705

SPRING 2019

Data Analysis II

Instructor: Yen-Yi Ho Office: LeConte 209G

Class Meetings:

Wednesday/Friday 9:40AM - 10:55AM in LeConte 201A

Dr. Ho's office Hours: Wednesday/Friday 11 - 12AM or by appointment (LeConte 209G)

Email: hoyen@stat.sc.edu

Textbook:

3. Casella and Berger. Statistical Inference (2nd edition). Textbook used for STAT 712.

Resources:

1. This is Statistics.org

Review Material:

Approximate course outline: (Lecture notes will be updated often)

Acknowledgement: The contens of this course (STAT705) has been developed with contribution from colleagues Drs. David Hitchcock, John Grego and Timothy Hanson. Some of my slides were shamlessly borrowed from Dr. Timothy Hanson.