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 Biostatistics 140.642
 Design of Clinical Experiments

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

  
 

Homework 3 Solution

Homework 4 Solution
 

  
 

Dear Bio642 students,

Thanks for participating in the 2010 course on Design of Clinical Experiments. You would help us and future students if you would take a few minutes to give feedback about how to improve the course at https://apps3.jhsph.edu/courseevaluations/students/

Thanks in advance for taking a bit of time to share your ideas.

All the best,
Scott
 


First Term
August 26 - October 19, 2010



LECTURES

3:00 pm - 4:20 pm  Tuesday, Thursday
JHSPH Room W2015

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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. 

Download Acrobat Reader
(version 9+ required)

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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

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AUDIO:

An audio file of each lecture is available in the "Classes" section of the website 

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TEXTBOOK:

Steven Piantadosi.
Clinical Trials: A Methodological Perspective, Second Edition.
Wiley: 2005.

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GRADING

Based on problem sets, final examination, and a paper on a topic related to clinical experiments.

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e-REGISTER FOR COURSE e-MAIL

To receive course announcements and to receive credit, all students must register an e-Mail address

e-Register

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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:

  1. Understand basic clinical trial design principles including bias control, random error control, randomization, blocking, and masking;

  2. Have a working knowledge of quantitative properties of clinical trials including precision of estimation, power, sample size, and accrual dynamics;

  3. Have experience with specific types of designs of practical and historical interest including dose-finding, safety and efficacy, and comparative trials;

  4. Understand the importance of design and its relation to the analysis of clinical trials;

  5. 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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             Johns Hopkins Bloomberg School of Public Health
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