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HPH
562 Data Management and Informatics
Fall 2008
Location: The
Wednesdays
5pm-7pm
Instructor:
Hongdao Meng
HSC, Level 3,
Room 079
631-444-7281
TA:
Yifan Wang,
wyifan2007@gmail.com
Office
Hours: Wednesdays 5pm-6pm
or by appointment
I. Course Aims
and Objectives:
Aims: This course is intended to provide
students and researchers with an introduction to the principles of public
health informatics and a hands-on experience in data management and in their
applications in research.
Learning
Objectives: By the end of this course, you should be able to:
1. Define basic
concepts in public health informatics, Retrieve information about population
health from main sources in the
2. Import,
create, maintain, modify, and manage data sets using the SAS Systems for
Windows; Create variables, merge multiple datasets, generate descriptive and
analytical statistics frequently used in public health and clinical research.
3. Understand
characteristics of health care data, demonstrate
ability to perform data validation and common manipulation techniques.
4. Implement
standard statistical methods (
test, t test,
analysis of variance, correlation, linear regression, and logistic regression)
using SAS.
II.
Pre-requisites:
To
enroll students must have had at least a college level statistics course and a
working knowledge of Microsoft Windows, including: how to locate files on the
hard disks or removable disks, file naming conventions, saving changes to a
file, copying, moving, renaming files, using Windows Explorer and other common
programs such as NOTEPAD, WORD, EXCEL, etc.
III.
Format:
Classroom
activities include one lecture (5pm-5:50pm, Wednesday) and a lab (6pm-6:50pm)
each week as indicated on the schedule. Class attendance to lectures and labs
is crucial. You will be responsible for
the course materials taught in class and labs.
Course
Website: http://blackboard.stonybrook.edu (Please visit
the site on a regular basis for announcements, handouts, data, and discussions)
IV. Text,
Software, and Hardware:
Required
Textbook: Lora D. Delwiche
and Susan J. Slaughter, The Little SAS
Book: A Primer (3rd edition). SAS Institute
Inc., 2003. (ISBN: 1-559047-333-7)
Storage media: a USB
“Thumb” Drive to store your work.
V. Grading: Grades will be computed as follows:
Quiz 14
points (2×7)
Lab 16
points (2×8)
Homework 20 points (2×10)
Mid-term exam 25 points
Final exam 25 points
The
final letter grade will be determined from the total points scored from the
assignments and examinations. All quizzes are close-book close-notes.
As
a general rule, make up exams and advance exams will not be given. Exceptions
may be given in cases of documented inability to attend. Valid reasons will be
considered at the instructor’s discretion. These cases should be communicated
to the instructor well in advance.
VI. Computing
and Technology:
Use of a statistical software package is essential for this
course. SAS is available on computers in the HSC library (You need to set up an
account with the library). If you cannot come to the HSC library to do your
homework and/or plan on using SAS at home, you can purchase the SAS software
package from the Main library. Students can purchase a license that is good for
the entire duration of your graduate program for $22 (need Student I.D.) at the
Main Library SINC site (West Campus). Their hours are posted on the website
http://www.sinc.sunysb.edu/.
We will also use the Classroom Performance System (CPS) to
facilitate our question/answers and Quizzes. More details about CPS to follow.
Last updated: 9/02/08