Biostatistics 192
Introduction to Linear Models
Spring 2008
Course Director: Steve Paul, PhD
DESCRIPTION This course begins with bivariate correlation and simple linear regression and then moves on to a presentation of multiple regression techniques and the analysis of variance under the general linear model. It will focus on designs involving a quantitative dependent variable and independent variables of either a quantitative or categorical nature. Choice of technique and interpretation of results will be stressed more than mathematical development of the methods. The course includes a weekly laboratory session on computer data analysis using the SPSS for Windows statistical package.
PREREQUISITES Biostat 183 or 187 or equivalent or permission of instructor.
FACULTY
| Course Director: | Steve Paul, PhD |
| Phone: | 415 / 476-2676 |
| Office: | N337-A |
| Email: |
steven.paul@nursing.ucsf.edu |
| Teaching Asst: | Tina Baggott |
| FORMAT | |
| Lectures: | Tues & Thurs 1:00 - 3:00 p.m. in N721 |
| Lab: |
Choice of one, required if registered for credit. Tuesday 3:00 - 6:00 p.m. in N735 OR Thursday 3:00 - 6:00 p.m. in N735 The lab sessions will include instruction in the use of the SPSS for Windows statistical program. The lab will also allow further discussion of lecture topics. |
| Assignments: | Weekly exercises based on problems in Glantz & Slinker will be assigned. The necessary computer runs are designed to be completed during the laboratory. |
| Examinations: | There will be a midterm and a final exam. Both are open book take-home examinations to be completed independently. The midterm will be given around the sixth week of the quarter. The final will be given out the last day of class and will be due during finals week. |
TEXTBOOKS
- Required:
Glantz, S.A. & Slinker, B.K. Primer of Applied Regression and Analysis of Variance. Second Edition. New York: McGraw-Hill, 2001. - Recommended:
Cohen, J., Cohen, P., West, S., & Aiken, L. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Third Edition. Hillsdale, New Jersey: Lawrence Erlbaum Associates, 2003.
GRADING The course grade will be determined by performance on the two exams plus completion of all of the lab assignments.
ENROLLMENT Auditors are welcome in the course. However, laboratory sessions are open to auditors only if space is available.