STT 801: Experimental Design Fall 2016 (Dr. Marianne Huebner)

Time and Place: MW 8:30-9:50 AM, 3400 Engineeering Building* Instructor: Dr. Marianne Huebner Office: C-422 Wells Hall Phone: (517) 432 3385 Email: [email protected] Office Hours: MW 9:50-10:50am, and by appointment Online Discussion https://piazza.com/msu/fall2016/stt801 Forum: (preferred method of contact for course related questions) Prerequisites: STT 422 or STT 442 or STT 862

*Additional class times: 8:30-9:50 am Fridays, September 2, 9, 16, October 7 in 2245 Engineering Bldg

*Cancelled classes: September 26, 23

Requirements: R software: Download for free (http://cran-r.project.org) and Rstudio (http://www.rstudio.com/) Instructions on how to use this programming language for data analysis and how to write statistical reports using the markdown language for reproducible research will be provided. A series of downloadable tutorials (in both Word and R markdown files) are available on Github: https://github.com/huebner/R-tutorials.

Textbook(s): D Montgomery (2012). Design and Analysis of Experiments [8th ed], Wiley (check Wiley website for student companion and data sets)

L Friedman, C Furberg, D DeMets (2010). Fundamentals of Clinical Trials [4th ed], Springer, New York. Chapters 1-9, 11, 15, 16.

Calculator for in-class exams (as needed). The calculator needs to have probability distributions.

EXAM INFORMATION

Exam 1: Monday, October 3

Exam 2: TBD

Final Exam: The final exam will have an in-class portion on Wednesday, December 7, and a take-home portion that is due any time before December 13. Grading: The course grade is based on

1. (40%) Practical and theoretical homework projects that may require statistical analysis of a dataset, explanation of methods, and a statistical report.

2. (20% each) Two in-class Exams. Dates to be determined.

3. (20%) Final Exam: Tuesday, Dec 13 2016 7:45am - 9:45am in 3400 Engineering Building

Course description from MSU course catalogue: Blocking and randomization. Split-plot, latin square and factorial designs. Fractional factorial designs, aliasing and confounding of effects. Mixture and central composite designs and response surface exploration. Clinical trials. Prerequisites: STT 422 or STT 442 or STT 471

Topics:

1. Simple comparative experiments (chapter 2)

2. Clinical trials (assigned readings, course notes)

3. Critical reading of study/Protocol writing (assigned reading)

4. Experiments with a single factor (chapter 3)

5. Randomized block designs (chapter 4)

6. Factorial designs (chapter 5)

7. 2k factorial designs (chapter 6)

8. Additional topics: e.g. blocking, confounding, random factors (as time permits)

Course Objectives: At the end of the course, students should be able to

 Identify various experimental designs and their applications

 Analyze data from planned experiments and assess the scientific significance, and interpretation of model results  Being able to use the statistical software R for data analysis and writing reproducible code in Rstudio

 Interpret and critically evaluate clinical trial designs in published manuscripts

 Describe experimental design methods and results to a non-statistical audience

 Write a study protocol

Policies:

No late homework will be accepted. There are no make-up exams.

Attendance: You are expected to attend all meetings of the class. If you miss a class for whatever reason, you are responsible for all you missed.

Electronic devices: As a professional courtesy to your classmates and to limit disruptions during lectures, ringtones of phones must be turned off during the class session. Students must not engage in talking on cell phones or text messaging in the classroom. Laptops should be turned off and stored unless authorized by the instructor. Use of computers or mobile devices for activities such as game playing, instant messaging, internet surfing, during class or recitations are prohibited.

Academic Honesty: The Department of Statistics and Probability adheres to the policies of academic honesty as specified in the General Student Regulations 1.0, Protection of Scholarships and Grades, and in the All-University of Integrity of Scholarship and Grades which are included in Spartan Life: Student handbook and Resource Guide. Student who plagiarize will receive a grade 0.0 in the course or the assignment. Plagiarism at MSU is taken seriously: “no student shall claim or submit the academic work of another as one’s own.” For some homework (will be announced) the following rules applies: EACH STUDENT IS EXPECTED TO WORK INDEPENDENTLY. EVIDENCE OF COPYING AMONG STUDENTS WILL REDUCE THE GRADE OF ALL STUDENTS INVOLVED.

ADA: To arrange for accommodation a student should contact the Resource Center for People with Disabilities (353-9642). http://www.rcpd.msu.edu

Intellectual Property Rights: Students may not post course materials online or distribute them to anyone not enrolled in the class without the advance written permission of the course instructor.

Disclaimer: The instructor reserves the right to make any changes she considers academically advisable. Changes will be announced in class. It is your responsibility to keep up with any changed policies and assignments. STT 801 - 001 FALL SEM 2016 Class Begins 8/31/2016 Open adds end (8:00pm) 9/7/2016 Last day to drop with refund (8:00pm) 9/26/2016 Last day to drop with no grade reported (8:00pm) 10/19/2016 Class Ends 12/16/2016