University of Minnesota
School of Public Health Division of Biostatistics

PubH 6451, Biostatistics 2, Spring 2012

2012 Syllabus and course information.

Required text: packet of course notes from CMU bookstore. We will also refer to the book from 6450 (Moore and McCabe, 6th edition), which is on reserve at the Biomed Library.

Course meets Monday and Wednesday, 10:10 - 12:05, in Moos Tower 2-530.

Description: PubH 6451 is the second semester of an introduction to biostatistics, statistical methods applied in the health sciences. This course covers a broad range of methods, with a focus on their practical use and interpretation in clinical trials and observational studies. Themes of the course are adjusting comparisons of study groups by regression or stratification, and understanding interactions between adjustors and the groups. A paper from a health-science journal is assigned in each homework: students will repeat the analysis in the paper and critique the methods and results. Computations will be illustrated in SAS, with discussion of basic programming elements and output for the homework.

The course covers methods for working with continuous measurements (t-tests, linear regression, ANOVA), measurements in categories (risk, rates, odds, logistic and Poisson regression), and measurements of time until an event occurs (survival data, proportional hazards regression).

Prerequisites: completing either PubH 6420 and PubH 6450, or PubH 6414 and 6415, with grade of at least B; health sciences grad student; or instructor's permission.

I recommend doing the coursework with PC-SAS on your own computer.
Get PC-SAS through the University of Minnesota for $75 per year.

Many documents on this website are in PDF format. If you need the software to read them, download Adobe Acrobat Reader here.


Instructor: William Thomas click here to email

Office hours: 2:15 - 3:15 Wednesdays, Mayo A-467

TA office hours in Computing Lab (Mayo C-381): Monday, Wednesday, Friday: 3:30 - 5:30; Tuesday, Thursday: 4:00 - 6:00

E-Journals at the U of Minn Library

. , .
HW 1 hw1_CRP.csv hw1_CRP.sas CONSORT statement CONSORT explanation
HW 2 log_example.sas
Section 1: MAP data (CSV file) Section 5: four breakfasts.csvice cream.csv
HW 3 childIQ.csv hw3.sas


Introduction to SAS


Resources for solving problems in SAS


Updated 13 February 2012