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Biostatistics
140.614
Data Analysis Workshop II
Department of Biostatistics, Johns Hopkins
Bloomberg School of Public Health

Winter Term
January 12 - 16, 2009
INSTRUCTOR and Teaching Assistants:
LECTURES:
8:30 am - 10:00 am Monday - Friday
Room W2008
LABS for review, questions, and help with
e-Quizzes:
10:15 am - noon Monday - Friday
Room W2008
LECTURE NOTES:
Copies of lecture materials are
distributed during class. Purchase of these materials is included in
registration. Copies of most materials are available for downloading in
the "Classes" section of the
course web site.
Adobe Acrobat Reader (version 8 or higher) is needed to
view materials posted on the website.
Download Acrobat
Reader
WEB SITE:
http://biostat.jhsph.edu/courses/bio614
Userid: bio614
Password: (given in class)
Contains course schedule, office hours, lecture notes, quizzes,
solution keys, data sets, and Stata examples
TEXTBOOK:
Hamilton, L: Statistics with Stata 10
Also recommended (optional):
Bernard Rosner.
Fundamentals of Biostatistics 2000, Duxbury Press,
Pacific Grove, CA
Stata User's Guide and Reference Manuals
Rabe-Hesketh S and Everitt B: A Handbook of Statistical
Analyses Using Stata, Second Edition (more advanced)
CALCULATOR:
Basic functions (+, -, x, /), logarithms and exponents, simple
memory and recall, factorial key.
COMPUTING PACKAGE:
Stata 10, Stata Press, College Station, Texas (www.stata.com)
GRADING based on:
80% Three e-quizzes
20% Class participation
Students taking the
course for credit may work together on problem sets and e-Quizzes,
but they must submit their own versions of the answers. e-Quizzes
MUST be submitted via the course website, and cannot be accepted
via e-mail or hard copy.
e-REGISTER FOR COURSE e-MAIL:
To be considered part of the course, all students must
register their e-mail address

COURSE OBJECTIVE:
To provide students with the ability to use statistical software to
implement and critically evaluate common techniques of data analysis
used with public health data.
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Saturday, January 10, 2009 |
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©2009,
Department of Biostatistics,
Johns Hopkins
Bloomberg School of Public Health
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