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]
All projects and assignments should be e-mailed by the due date to email@example.com
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]
(4/23) [HW 2 due]
(4/30) Midterm I
(5/7) [HW 3 due]
(5/21) [HW 4 due]
(5/30) Midterm II
(4/01) Assisted set up of R Studio and Markdown tools [Bring your laptop]
Body Fat and Weight (fat.dat.txt, fat.info.txt)
Money and Democracy (CAFE.csv)
Food and Nutrition (food.txt)
|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|
Afifi, A., May, S. and Clark, VA. Practical Multivariate Analysis (Fifth Edition). CRC Press.
James G., Witten, D., Hastie, T. and Tibshirani, R. An Introduction to Statistical Learning with Applications in R. Springer. (*e-book from the library)
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:
Install R-studio on your machine. You simply need the open-source desktop version downloadable here.
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.