Syllabus of Preventive
Medicine 650, section 2

Introduction to Quantitative
Methods-Population Health

Fall
2001

Instructor:
Dr. Guan-Hua Huang

Office:
703 WARF

Office
phone: 608-265-6176

Email:
guanhuahuang@facstaff.wisc.edu

Course
website: http://webct.wisc.edu/

Credit:
one (1) credit independent study

Class
meetings: Tuesday from 2:30 to 3:30 at 758 WARF

Office
hours: generally available following class, or by
appointment

The
goals of the class are to introduce and develop skills in using the SAS
statistical package, and to illustrate statistical concepts through the help of
SAS. This class also intends to provide the bridge between Statistics 541
(Introduction to Biostatistics) and Population Health 800 (Quantitative Methods
in Population Health I). In the class, we will cover

- Data
management and data manipulation using SAS.
- SAS
procedures for data analysis.
- SAS
graphical techniques for displaying data.
- Use
SAS to illustrate fundamental probability and statistical concepts, including
random number generation, population, sample, probability distributions,
random variables, hypothesis testing, p-value and confidence
interval.

The
course schedule will be closely related to Statistics 541. Therefore, students
are expected to be well prepared about the course material of Statistics 541.

Handouts
corresponding to each lecture will be available on the course website before
each class. While there are no required texts, it is good to have some SAS
reference books. I find the following texts quite helpful:

- “
*The Little SAS Book: A Primer, Second edition*”, by Delwiche and Slaughter: a friendly easy-to-read guide introduces you to the most commonly used features of SAS software. Good for the SAS beginners. - “
*SAS Language and Procedures*”, by SAS Institute Inc.: provide instructions and examples for using common features and procedures of SAS. Also good for the beginners. - “
*SAS/STAT User’s Guide*”, by SAS Institute Inc.: references of all SAS statistics procedures. Good reference books for using SAS to do data analysis. - “
*SAS OnlineDoc*” through the web link: http://www.ssc.wisc.edu/saspdf/. To access this web page, you need to be in the University Ethernet or use the dialup through WiscWorld.

The
course will be of interest to master’s and Ph.D. students in population health
sciences who are taking (or have taken) Statistics 541 and will also take
Preventive Medicine 800.

The
course grade will be based upon analyzing a provided data set. Each student is required to write a 10
pages or less (including all the texts, tables and graphics) scientific report
of the analysis methods and results. The detail format of the report will be
given in class.

Lecture
1 (9/4) |
Introduction
to SAS, including manipulating data in SAS, creating the temporary and
permanent SAS data sets, and basic SAS
programming. |

Lecture
2 (9/11) |
Introduction
to SAS continued. |

Lecture
3 (9/18) |
Explore
and graphically display data. |

Lecture
4 (9/25) |
SAS
procedures for data exploration. |

Lecture
5 (10/2) |
Modify
and combine SAS data sets. |

Lecture
6 (10/9) |
Random
numbers and probability distributions in SAS. |

Lecture
7 (10/16) |
Advanced
SAS programming. |

Lecture
8 (10/23) |
SAS
macro. |

Lecture
9 (10/30) |
SAS
procedures for hypothesis testing, including one-sample, two-sample and
paired t-tests. |

Lecture
10 (11/6) |
Prevalence,
incidence, relative risk, odds ratio and Kappa
statistics. |

Lecture
11 (11/13) |
SAS
procedures for analyzing categorical data, including Chi-square test, and
tests for homogeneity and agreement. |

Lecture
12 (11/20) |
SAS
graph and output delivery system (ODS) |

Lecture
13 (11/27) |
SAS
procedures for regression analysis. |

Lecture
14 (12/4) |
SAS
procedures for nonparametric methods. |

Lecture
15 (12/11) |
Where
to go from here. |