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 Biostatistics 140.614
 Data Analysis Workshop II

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 


INSTRUCTOR and Teaching Assistantsts:

  • Richard Thompson
    Instructor

    Department of Biostatistics

  • Alison Turnbull
    Department of Epidemiology

  • Lynn Huynh
    Department of Epidemiology

  • Jenna Krall
    Department of Biostatistics

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LECTURES:

8:15 am - 9:30 am  Monday - Friday
Room W2008

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LABS for review, questions, and help with exercises:

9:45 am - noon  Tuesday - Friday
Room W2008

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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 is needed to view materials posted on the website. 

Download Acrobat Reader

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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

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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)

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CALCULATOR:

Basic functions (+, -, x, ÷), logarithms and exponents, simple memory and recall, factorial key.

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COMPUTING PACKAGE:

Stata 11, Stata Press, College Station, Texas (www.stata.com)

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GRADING based on:

80% Exercises (4)
20% Class participation

Students taking the course for credit may work together on exercises and submit their answers with their group.

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e-REGISTER FOR COURSE e-MAIL:

To be considered part of the course, all students must register their e-mail address

Register e-Mail Address

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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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OTHER LINKS:

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  Last updated Friday, January 20, 2012
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Johns Hopkins Bloomberg School of Public Health
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