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st: RE: Teaching Stata to Public Health Students
From
"Lachenbruch, Peter" <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: RE: Teaching Stata to Public Health Students
Date
Thu, 23 Dec 2010 10:12:43 -0800
We've used Stata in our biostatistics courses and students tend to get along fairly well. I give a course using Long's book that's well received. Many social science faculty like SPSS which I don't. the theoretical statisticians love R - it's not useful for MPH students. Tips might include contact the Biostatistics department at UMn to try to get their buy in. Often the main reason for not using Stata is that they don't know it and its extensive features.
Tony
Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of J Michael Oakes
Sent: Wednesday, December 22, 2010 7:47 AM
To: [email protected]
Subject: st: Teaching Stata to Pubic Health Students
Greetings - My colleagues and I are once again trying to decide how best
to train our Masters of Public Health (MPH) students in applied data
analysis *AND* data preparation and mgt. The latter stuff always takes
the most of my time but rarely gets taught or emphasized in the
classroom where fancy models seem to dominate.
Although I've taught Stata here for nearly ten years, many colleagues
still "promote" SAS. The problem with this is most MPH students never
really "get SAS" and struggle through their thesis and beyond. My Stata
students do much better -- it's not me, it's Stata and Scott Long's
super Workflow book.
Was hoping members of this list might comment on what software (esp SAS
v Stata) and *data management* courses they offer their masters/graduate
students. I am particularly interested in comments from Public Health
faculty but insights from anyone would be most welcome.
Best Wishes - Michael
--
J. Michael Oakes, Ph.D.
McKnight Presidential Fellow
Associate Professor
Division of Epidemiology
Co-Director, Census Research Data Center
University of Minnesota
1300 South 2nd Street
Minneapolis, MN 55454-1015
voice: 612.624.6855
email: [email protected]
fax: 612.624.0315
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