LECTURES:
10:30 am - 12 noon Tuesday, Thursday
Sommer Hall (Room
E2014)
LABS for review, questions, and help with
e-Quizzes:
(begin Tues, 31 March; attend 1 session per
week; lab registration not needed)
| Lab 1: |
Tuesday |
3:30 PM - 5:20 PM | E2014 (Sommer Hall) |
| Lab 2: |
Wednesday |
3:30 PM - 5:20 PM | E2014 (Sommer
Hall) |
| Lab 3: |
Thursday | 1:30 PM - 3:20 PM |
E2014 (Sommer Hall) |
OFFICE HOURS For TAs:
(begin Wed, 25 March)
| Tue, Wed, Thurs |
12:15 - 1:15 PM | W2033 |
| Mon & Fri |
12:15 - 1:15 PM | W2015 |
COMPUTER LABS for Stata/statistical help
(begin Thur, 26 March)
| Mon-Fri |
2:30 PM - 4:20 PM |
W3025 |
INSTRUCTOR:
James Tonascia, PhD
Department of Biostatistics, E3646
Johns Hopkins University
Bloomberg
School of Public Health
Phone: 410-955-3067
e-mail: jtonasci@jhsph.edu
Office Hours: After lectures and labs
TEACHING ASSISTANTS:
LECTURE NOTES:
Copies of lecture materials are
distributed during class. 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.
WEBSITE:
http://biostat.jhsph.edu/courses/bio624
Userid: (given in class)
Password: (given in class)
Contains course schedule, office hours, lecture notes, quizzes, solution
keys, data sets, and Stata examples
AUDIO:
An audio file of each lecture is available in the "Classes"
section of the website
TEXTBOOK:
Bernard Rosner.
Fundamentals of Biostatistics, 2006, Duxbury Press, Pacific
Grove, CA Also recommended (optional):
Hamilton, L: Statistics with Stata, Updated for Version
10, 2009.
(available at www.stata.com) Stata User's Guide and Reference Manuals Rabe-Hesketh S and Everitt B: A Handbook of Statistical
Analyses Using Stata, Fourth Edition, 2007. (available at
www.stata.com)
CALCULATOR:
Basic functions (+, -, x, ÷), logarithms and exponents, simple memory
and recall, factorial key. May be used during exam.
COMPUTING PACKAGE:
GRADING based on:
- 20% e-Quizzes (5 on-line quizzes)
- 50% Data Analysis Project:
Submit Abstract
- 30% Examination
(in class; required for grade of A, optional otherwise)
REGISTER FOR COURSE e-MAIL:
To receive course announcements and to receive credit for
e-Quizzes, all students must register an e-Mail address
COURSE OBJECTIVE:
To expand students' abilities to conduct and report the results of
valid statistical analysis of quantitative public health information.
To develop more advanced skills in multiple regression models, focusing
on linear, logistic, and log-linear models and on techniques for
evaluation of survival and longitudinal data.
OTHER LINKS:
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