Homework #6 BES 301 Autumn 2005
Reading Assignment:
Take notes in your
class journal. Be prepared to
participate or take the lead in a class discussion on aspects of these
readings.
Workgroup Written
Assignment for Wed, Nov 23. (a single collaborative product for each workgroup)
Write a 1-3 page essay addressing the following question:
Consider the paper by
Ioannidis. It is, of course, not
expected that you will understand all of the arguments presented there. But, it is expected that you should be able
to make some sense out of most of his arguments, relating them to what we have
read about statistics and what you have learned elsewhere about them. After reading the paper, address each of the
following in approximately a single paragraph:
Corollary 1, Corollary 2; and Corollary 3. (found
on 697-698 of the paper). In each case
explain in your own words what is meant by the corollary and how the author has
demonstrated it to be true. Use the
concepts we have discussed in class, read in Valiela,
and Ioannidis own arguments to explain these corollaries. It would be good when possible to express
these ideas in terms of hypotheses testing, Type I and Type II errors, power of
a test (1-b)
the probability of type I error (a, p), etc.
At the end of the essay, I should be convinced that your group has grasped the
main points in this paper, has a pretty good idea about why Ioannidis thinks
they are true, and can explain what he means by those three Corollaries.
Procedure: A peer review section of the course web site will be set up for you. Each group is to use it to draft and revise this essay. You can also meet off-line, but I expect to find evidence on the peer review web site that you have worked as a group in assembling and revising this document.
The Peer Review assignment will be
frozen before class on
Wednesday, Nov 23.
The assignment name is
“Ioannidis Paper”
Research Assignment:
Your literature review source list (Assignment #3 of the
research project) is due before class on
Nov 21, Monday. Details of the
assignment can be found in the assignment handout