Biostatistical Methods for Clinical
Research IV
Biostat 210 Fall 2007 (2 units)
Course Director: John M. Neuhaus, PhD
Professor, Division of Biostatistics, Department of Epidemiology and Biostatistics
| OBJECTIVES |
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This is a continuation of the TICR Biostatistical Methods
for Clinical Research course sequence, covering additional biostatistical
methods and allowing more in-depth exploration of the topics from Biostatistical
Methods II (Biostat 208) and III
(Biostat 209). The course format is discussion and case-study based and
students are encouraged to utilize their own projects to motivate discussion
and to suggest topics of interest.
- Identify characteristics of a problem to help choose the appropriate
analytic technique.
- Understand data limitations and thier consequences.
- Improve critical interpretation of statistical analysis of data.
- Gain further mastery of the topics taught in Biostat II and III.
- Study additional advanced biostatistical methods as suggested by the
class. Possible topics include but are not limited to: analysis of health
surveys, nonparametric regression techniques, and advanced topics in
survival and repeated measures analysis.
| PREREQUISITES |
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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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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.
| GUIDELINES FOR STUDENT PRESENTATIONS |
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Prepare a 20 minute talk. Each room will have a laptop available for presentation. Please
arrive at class with your talk on a USB or make an alternative arrangement with Su-Chun
Cheng or John Neuhaus in advance. Apportion the time approximately as follows:
• 5 minutes on background (the scientific question, available data)
• 5 minutes on statistical methods (how you analyzed the data and why)
• 5 minutes on major results (need not be comprehensive)
• 5 minutes for questions and reflections
The talk should have a methodological bent. You will want
to highlight any subtle or difficult choices you made in the analysis
and explain why you made them. Nearly every project will present some
issue that we haven’t covered in the class. Take the opportunity to explain
to fellow students any novel issues you encountered and the techniques
you used to address them.
| 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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