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STAT 704

FALL 2022

Data Analysis I

Instructor: Yen-Yi Ho Office: LeConte 216A

Class Meetings:

Monday/Wednesday 2:20-3:35p in LeConte 206

Dr. Ho's office Hours: Monday/Wednesday after class or by appointment (can be arranged virtually or in-person)

Email: hoyen@stat.sc.edu

Textbook:

1. Kutner, Nachtsheim, Neter and Li. Applied Linear Statistical Models (5th edition) (This book is out of print, but is available online, including in the "international version" which is OK. It is rather expensive new, but it is a very nice book and it will also be the book used for STAT 705 in the spring.)

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 Aug 22	Syllabus View Schedule Lecture 1: Probability Review (Appendix A.3, A.4)	Homework 1	John Verzani's SimpleR note Lab1.R Homework Template R Quiz R Quiz Solution
Week Aug 29	Lecture1: Probability Review (Appendix A.3, A.4)	Homework 1 Due (Sep 2 at 5PM) Homework2	Lab2.R More Topics in R (R Code) Bootstrap Note		KNN Appendix A.3, A.4
Week Sep 5	Sep 5 Labor Day: No Class Lecture2: Introduction to R More Topics in R (handout) Lecture 3: Two-sample Test Sep 10 (Saturday): Make-Up Class 1 10AM-11:15AM LeConte 205 A gentle introduction about Bootstrap Bias-corrected bootstrap intervals	Homework 2 Due (Sep 9 at 5PM) Homework 3 Type I error rate	Lab3.R		KNN Ch1, Ch2
Week Sep 12	Sep 12-14: NO CLASS (Yen-Yi NIH meeting) Sep 17 (Saturday): Make-Up Class 2 10AM-11:15AM LeConte 205			SAS (Summer Temp Data)
Week Sep 19	Lecture 3: Two-sample Test Lecture 4: Non-parametric Test, Permutation Test	Homework 3 Due (Sep 23 at 5PM) Homework 4	Lab4.R	SAS(Mice Data) SAS (Pollution Data)
Week Sep 26	Lecture 5: Power and Sample Size		Lab5.R
Week Oct 03	Lecture 6: Likelihood Lecture 7: Simple linear regression: Specification of Model, Least Square and MLE Estimates, Inferences of Coefficients	Homework 4 Due (Oct 7 at 5PM ) Homework 5			KNN Ch2 KNN Ch16
Week Oct 10	Lecture 8: Simple linear regression ANOVA Table, Coefficient of Determination	Homework 5 Due (Oct 14 at 5PM) Homework 6	Lab6.R Toluca Data		KNN Ch6
Week Oct 17	Lecture 9: Multiple Regression Model (Chap 6): Basic Tools for Building Regression Models Oct 19: Midterm Exam	Midterm Review Note	IGROWUP		KNN Ch5
Week Oct 24	Lecture 10: Matrix Approach to Linear Regression (Chap 5, 6)		Lab7.R		KNN Ch6
Week Oct 31	Lecture 11: Added Variable Approach & Multiple Regression Transformation Lecture 12: Weighted Least Squares Paper about R squred in WLS Paper about Smearing Estimat	Homework 6 Due (October 28 at 5PM) Homework 7	Lab8.R		KNN 3.9 & 6.8 KNN 10
Week Nov 07	Lecture 13: Model Checking and Fix-Ups	Homework 7 Due (Nov 4 at 5PM) Homework 8	Lab9.R Lab10.R		KNN 10 KNN 7.5, 7.6
Week Nov 14	Lecture 14: Model Checking and Fix-Ups II	Homework 8 Due (Nov 18 at 5PM) FinalProject			KNN 14
Week Nov 21	Lecture 15: Confounding effect Lecture 16: Multiple Comparisons JAMA paper about confounding effect Nov 23 Thanksgiving: No Class		Lab11.R Lab12.R		KNN 9
Week Nov 28	Model Selection Note Multivariate Normal Distribution Note Working with High-Performance Computing	Linux Command Slurm Script Slurm link Unix Beginners Final Project Due (December 2 at 5PM)	Lab13.R		KNN 14
Dec 9	Final Exam Dec 9 (Friday) at 12:30PM

STAT 704

FALL 2022

Data Analysis I

Instructor: Yen-Yi Ho Office: LeConte 216A

Class Meetings:

Monday/Wednesday 2:20-3:35p in LeConte 206

Dr. Ho's office Hours: Monday/Wednesday after class or by appointment (can be arranged virtually or in-person)

Email: hoyen@stat.sc.edu

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.

Resources:

1. This is Statistics.org

Review Material:

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

Acknowledgement: The contents of this course (STAT 704) has been developed with contributions from colleagues Dr. David Hitchcock, Dr. John Grego and Dr. Timothy Hanson. Most of my slides were shamelessly borrowed from Dr. Timothy Hanson.