Biostat 406 - Spring 2019


  • Instructor: Donatello Telesca

  • Lecture: TR 4:00pm-5:30pm [PUB HLT 61269]

  • Labs: 1A [M: 9:00am-9:50am, PUB HLT  61262], 1B [3:00pm -3:50pm, PUB HLT  61269], 1C [2:00pm -2:50pm, PUB HLT  61235]

  • Office Hours:

  • Teaching Assistant:


Assignments

All projects and assignments should be e-mailed by the due date to biostat406@gmail.com


Announcements


Schedule of Lectures

  • (4/2) Introduction - Review of Linear Regression Models [AMC Ch. 7]

  • (4/4) Factorial Predictors + Scale Transformations [AMC Ch. 7]

  • (4/9) [HW 1 due]

  • (4/11)

  • (4/16)

  • (4/18)

  • (4/23) [HW 2 due]

  • (4/25)

  • (4/30) Midterm I

  • (5/2)

  • (5/7) [HW 3 due]

  • (5/9)

  • (5/14)

  • (5/16)

  • (5/21) [HW 4 due]

  • (5/23)

  • (5/28)

  • (5/30) Midterm II

  • (6/04)

  • (6/06)


Labs

  • (4/01) Assisted set up of R Studio and Markdown tools [Bring your laptop]

  • (4/08)

  • (4/15)

  • (4/22)

  • (4/29)

  • (5/6)

  • (5/13)

  • (5/20)

  • (5/27)

  • (6/03)


Data


Coursework

4 Take Home assignments 20% Due date on HW
Midterm 1 25% April 30 (In class)
Midterm 2 25% May 30 (In class)
Final Project 30% Due on or before June 10

Reading List

  1. Required

    Afifi, A., May, S. and Clark, VA. Practical Multivariate Analysis (Fifth Edition). CRC Press.

  2. Recommended

    James G., Witten, D., Hastie, T. and Tibshirani, R. An Introduction to Statistical Learning with Applications in R. Springer. (*e-book from the library)

  3. Recommended

    Dalgaard P. Introductory Statistics with R (Second Edition). Springer. (*e-book from the library).


Computing and Software

Biostatistics 406 will be taught using the R computational framework, which is a powerful and freely available tool for computation, analytics and graphics.

To make the most of your first lab please follow the following steps:

  1. Install R-studio on your machine. You simply need the open-source desktop version downloadable here.

  2. The course will focus on reproducible research through dynamic/smart documentation. Please get somewhat familiar with R Markdown as a platform for document creation here.