Biostatistical Methods for Clinical
Research IV
Biostat 210 Fall 2011 (2 units)
Course Director: David Glidden, PhD
Professor, Division of Biostatistics, Department of Epidemiology and Biostatistics
| OBJECTIVES |
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This is a fourth course in statistics, covering advanced
methods for building and evaluating regression models. The emphasis is
on methods which cuts across common families of regression models in biostatistics:
predictor selection, model diagnostics, and missing data. The statistics
package STATA will be used throughout the course.
| PREREQUISITES |
|
Designing Clinical Research
(Epi 202), Biostatistical Methods I (Biostat
200), Biostatistical Methods II (Biostat
208) and III (Biostat 209). Exceptions
to these prerequisites may be made with the consent of the Course Director,
space permitting.
| FACULTY |
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| TEXTBOOK |
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Clinical Prediction Models by Steyerberg,
Springer. 2009. ISBN: 978-0-387-77243-1
The statistical software package Stata (Stata Corporation, College Station,
Texas) is used in the program. The TICR Program has arranged for a sizeable discount for UCSF-affiliated personnel via the Stata GradPlan program.
| GRADING |
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Grades will be based on 6 homework assignments (100%).
| ENROLLMENT |
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This course is open to a limited number of individuals outside
of the ATCR and Master's programs. Preference is given to UCSF-affiliated personnel.
We regret that auditing is not permitted. To apply for this course please fill
out and submit the application below. Cost and submission information are in
the application.
Application (Word doc, 20KB)
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