STA312

Applied Statistical Modeling: Categorical Data Analysis

University of Toronto Mississauga, Fall 2022

http://utstat.toronto.edu/~brunner/312f22

Lecture: Tuesday 4:10-6:00 p.m. and Thursday 4:10-5:00 p.m. in IB235

• Instructor: Jerry Brunner
• Office: 3028 Deerfield Hall
• Phone: 905-828-3816
• email: jerry.brunner[at]utoronto.ca
• Office Hours: Tuesday 2-3 and Thursday 1-3

Tutorial: Friday 5:10-6:00 p.m. in DV2074

• Instructor: Haris Majeed
• Office: CC2110
• Email: haris.majeed[at]utoronto.ca
• Office Hours: Friday 4:10 - 5:00 p.m.

Piazza: A good place to share information and insights with other students, as well as getting answers from the instructors and other students: https://piazza.com/utoronto.ca/fall2022/sta312h5

Communication: Jerry does not read his email every day. It is much more efficient to talk with him before or after class, or during office hours. Email to Jerry or the TA should be restricted to private matters. For questions about course content or procedures, please use Piazza, so other class members can benefit from the answers. Quercus is used in this course only to check quiz scores. In particular, please do not use Quercus messages (Inbox) to communicate with Jerry. He never looks at it.

Textbook: An introduction to categorical data analysis (2nd ed.) by Alan Agresti. It is available in pdf format free through the U of T library.

Topics: Introduction and review, Multinomial distribution, Contingency tables, Logistic regression for binary response variables, Generalized linear models, Logistic regression, Poisson regression, Logistic regression for multi-category response variables, Mixed models for repeated binary observations. The R statistical software will be used.

Prerequisites: STA302. This is a firm prerequisite, not a co-requisite.

Grading: Marks will be based on equally weighted weekly quizzes given in tutorial, unannounced pop quizzes given in lecture, and a comprehensive final exam. Percentages are as follows:

Quizzes in Tutorial	50%
Pop quizzes in Lecture	10%
Final Exam	40%

Ten regular quizzes will be given in tutorial starting Sept. 23d. Quiz dates are Sept. 23, 30, Oct. 7, 21, 28, Nov. 4, 11, 18, 25, Dec. 2. The lowest regular quiz mark will be dropped.

There will be an assignment for each regular quiz. The knowledge you need to do each quiz is a subset of the knowledge you need to do the corresponding assignment. Some (most) of the assignments include a computer part. You will bring printouts to the quiz and answer questions based on the printouts. Possibly, one of the quiz questions will be to hand in a printout. The non-computer parts of the assignments are just to prepare you for the quizzes; they will never be handed in.

Pop quizzes will be given in lecture. The number of pop quizzes and their timing is random and not known in advance, except that there will be no pop quizzes the first week. The expected number of pop quizzes is ten. The pop quizzes will be very easy, and the marking will be generous.

Policy for missed work: If you miss a regular quiz or pop quiz, the mark is zero. However, your lowest quiz mark of each type will be dropped. If you miss a regular quiz with a valid excuse, the remaining quizzes will each count for more. The lowest remaining mark will still be dropped. A similar rule applies to the pop quizzes. If you believe you have a valid excuse for missing term work, please contact Jerry (not the TA).

What is a valid excuse? Medical excuses are usually accepted. Students can also be excused because of serious family emergencies. On the other hand, automotive breakdown or other transportation problems are never valid excuses. If you miss term work because you are taking another class at the same time as this one, that is not a valid excuse. The printer jammed, my dog ate it, etc. fall into the same category. If the University is officially open, weather is a valid excuse only if more than 50% of the class miss the quiz.

Plagiarism: It is academic dishonesty to present someone else's work as your own, or to allow your work to be used for this purpose. To repeat: the person who allows her/his work to be copied is equally guilty, and subject to disciplinary action by the university.

Here are some guidelines that apply to the computer assignments. If there is a problem with plagiarism, it will probably happen here, since computer input and output may be handed in. (I think it would be better if you did the non-computer homework independently too, but I can't enforce it.)

• In this course, it is always okay to use computer code that is presented in lecture or the textbook. Use it any way you like; you are responsible for the results.
• Copying R code from the internet or outside textbooks is expressly prohibited. It is okay to consult outside sources for ideas and syntax rules, but don't copy.
• The biggest danger is copying from other students in the class. It is fine to discuss the assignments and to learn from each other, but don't copy. Never look at anyone else's computer work or show anyone yours before the quiz or exam when they might be handed in. Above all, do not allow anyone to see your R code before a computer assignment is due, and do not look at anyone else's. Never photograph someone's homework or allow yours to be photographed.
• Of course if you post your R code on Piazza, you have committed an academic offence. You have also supplied the evidence that will be used to prosecute you. Be warned that your posts on Piazza may be anonymous to other students, but they are not anonymous to the instructors.
• Comparing numerical answers is okay; just don't share how you obtained them. A question like "What did you get for the likelihood ratio statistic?" is permitted, and you are allowed to answer if you wish.
• It is acceptable to get help with your assignments from someone outside the class, but the help must be limited to general discussion and examples that are not the same as the assignment. As soon as you get an outside person to actually start working on one of your assignments, you have committed an academic offense.
• For some quizzes, you will be asked to bring your printouts to class; maybe you will hand them in, and maybe you will use them to answer some questions. Never, ever, bring a copy of somebody else's printout, or allow anyone to have a copy of yours.
• Don't copy, and don't let anyone copy from you. If we catch you, you will get in big trouble. Even if we do not catch you, after you die you will be reincarnated as a tadpole in a polluted stream. Over and above trouble from the university, you do not want to receive a visit from my Associates. They know where you live.
• If this is not clear enough, the latest version of the student handout "How not to Plagiarize" is available at http://www.writing.utoronto.ca/advice/using-sources/how-not-to-plagiarize The Academic Regulations of the University are outlined in the Code of Behaviour on Academic matters, which can be found in the Academic Calendar at http://www.governingcouncil.utoronto.ca/policies/behaveac.htm.

Accessibility Needs: We are committed to accessibility. If you require accommodations for a disability, or have any accessibility concerns about the course, the classroom or course materials, please contact Jerry or Accessibility Services (visit http://www.erin.utoronto.ca/~w3access or email accessconfirm.utm@utoronto.ca) as soon as possible.