LECTURES
3:00 pm - 4:20 pm Tuesday, Thursday
JHSPH
Room W2015
INSTRUCTORS
Scott L Zeger, PhD
Department of Biostatistics, E3527 Johns Hopkins University Bloomberg School of Public Health Phone: 410-955-3067
Office Hours: Tue, Thu 4:30-5:30 pm (E3650)
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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 (version 9+) is needed to
view materials posted on the website.
WEBSITE:
http://biostat.jhsph.edu/courses/bio642
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:
Steven Piantadosi.
Clinical Trials: A Methodological Perspective, Second Edition.
Wiley: 2005.
GRADING
Based on problem sets, final
examination, and a paper on a topic related to clinical
experiments.
e-REGISTER FOR COURSE e-MAIL
To receive course announcements and to receive credit, all students must register an e-Mail address
e-Register
COURSE DESCRIPTION AND LEARNING OBJECTIVES:
Introduces the application of traditional
experimental design theory to biomedical control experiments,
including event time studies. Stresses methods of bias and
variability, particularly randomization, blocking, factorial
designs, stratification, and adequate sample size. Emphasizes
clinical trials and other types of medical experiments likely to be
encountered by biometric researchers. Discusses elements of analysis
when they relate to the design principles.
Upon successful completion of this course,
students will be able to:
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Understand basic clinical trial design
principles including bias control, random error control,
randomization, blocking, and masking;
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Have a working knowledge of quantitative
properties of clinical trials including precision of estimation,
power, sample size, and accrual dynamics;
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Have experience with specific types of
designs of practical and historical interest including dose-finding,
safety and efficacy, and comparative trials;
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Understand the importance of design and its
relation to the analysis of clinical trials;
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Demonstrate knowledge of clinical trial
methods by discussing specific design and/or analysis problems
expertly.
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Last updated
Monday, November 01, 2010 |
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©2010,
Department of Biostatistics,
Johns Hopkins
Bloomberg School of Public Health
All Rights
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