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Dates:
12 September to 3 October 2008.
Aim
of the Course:
This 3-week course shows you how to make power and sample size determination for
experiments, surveys and long-term trials using R, Stata, StatXact and other
widely-available computer software. The course will show you how to make power
and sample size determinations for product and treatment comparisons based on
either frequencies or continuous measurements.
As both the lessons and the discussion board are online, you can follow
the course at your own pace and on a schedule which best fits your availability
Who
Should Take This Course: Anyone who needs
to plan or execute experiments, surveys, or long-term trials.
An existing undergraduate background in
estimation and testing hypotheses is essential.
Instructor:
Dr. Phillip Good, former Calloway Professor of Computer Science at the
University of Georgia (Fort Valley), Division Head and Professor of Biology and
Physics at West Coast University, Associate Professor of Applied Mathematics at
Claremont College, and graduate of the program in mathematical
statistics at UC Berkeley, is the author of Manager's Guide to Design and
Conduct of Clinical Trials (Wiley, 2nd ed 2006), Resampling
Methods (Birkhauser, 3rd ed, 2005), Introduction to Statistics via
Resampling Methods and Excel (Wiley, 2005), Common Errors in Statistics
(and How to Avoid Them) (Wiley, 2003, 2006 with James Hardin), Permutation,
Parametric, and Bootstrap Tests of Hypotheses (Springer, 3rd ed, 2004), ,
and Applying Statistics in the Courtroom (CRC, 2001). He has given
tutorials at the Joint Statistical Meetings (U.S.) and Deming Conference,
lectured in Australia, Belgium, France, Holland, Ireland, and Spain, and was
twice a traveling lecturer for the American Statistical Association. This is his
fifth (5th) year of providing on-line interactive courses.
Prerequisite:
Familiarity with the
concepts of statistical inference (hypothesis testing and confidence intervals).
Organization
of the Course: The
course takes place over the Internet. During each course week, you
participate at times of your own choosing - there are no set times when you must
be online. Course participants will be given an alias and access to a private
bulletin board that serves as a forum for discussion of ideas, problem solving,
and interaction with the instructor. The course is scheduled to take place over
three weeks. Estimated
weekly time requirements for this course - an hour and half for the lecture, an
hour and a half for preparation, and another three hours for homework and review.
At the beginning of
each week, participants receive the relevant material, in addition to answers to
exercises from the previous session. During the week, participants are expected
to go over the course materials and work through exercises. Discussion among
participants is encouraged. The instructor will provide answers and comments.
Course
Program: The
course is structured as follows
Session
I--The Basics
A.
Factors Underlying Power and Sample Size
B.
Estimating Parameters
C.
Binomial Trials
1.
Contingency tables
2.
When p is small--vaccine trials
D.
Second Thoughts
1.
Should the Study be Performed?
2.
Should There be Preliminary Trials?
3.
Ending the Study
Session
II--Continuous Measurements
A.
Using Statistical Software
B.
When Are Observations Almost Normal?
C.
The Bootstrap
Session
III - Advanced Techniques
A.
Long-Term Studies
B.
Sequential Sampling
C.
Meta-Analysis
D.
Plan - Do – ChecK
Cost:
The cost of this three-week interactive on-line course is only $299. If
you register early, you need pay only $249. Students, faculty and
research workers at academic institutions are eligible for a further $50 discount. Just send
an email from your academic email account to courses@statisticsonline.info.
Immediately
after your payment is credited, you will receive an email giving you a password,
sign up instructions, and the web address (URL) of the course material.
Note that you will not be able to access this address until the start date of
the course.
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