|
Dates:
Begins March
16th 2012
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 clinical
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,
Bulgaria, France, Holland,
Ireland, Slovenia, and
Spain,
and was a traveling
lecturer for the American
Statistical Association.
This is his sixth (6th)
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
3.
Applications to Clinical
Trial Design
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
D.
Using the Pilot Sample
Session
III - Advanced Techniques
A.
Long-Term Studies
B.
Sequential Sampling
C.
Meta-Analysis
D.
Plan - Do – ChecK
Cost:
The full cost of this
three-week interactive
on-line course is only
$199. Early-bird
discount may apply.
Students, faculty and
research workers at
academic institutions are
eligible for a further $35
discount. Just send an
email from your academic
email account to courses@statcourse.com.
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. |
