+972-3-640-8035.
Prerequisites
All students are expected to know basic statistical
methods, including regression and analysis of variance.
You should know how to use SPSS or some other statistical
software package for analyzing data. Most of the topics
will be taught using SPSS.
The section on Analysis of Count Data will use EXCEL. You
should have some experience working with formulas in EXCEL
and copying and pasting both data and formulas.
Announcements
Students who want to review their exams can do so
on Wednesday 21 March from 16-17 in Sackler 916.
Click here
to see how many points you will get on
your final grade based on your homework papers. There is also
now a short explanation of how the bonus points were computed.
Homework 5 -- Answers to all questions are available
on the web site.
You can pick up your graded homework papers from Tomer or from Michael Brick in Sackler, room 913.
A summary of the formulas for the Kaplan-Meier estimator and
its standard error is available on the web site.
On 2.11.11 and 9.11.11 we will meet in Sackler 029. On 16.11.11
and 14.12.11 we will meet in Sackler 105. All other class meetings
will be in Sackler 022.
The American Journal of Epidemiology, Issue 5 of 2005, has some
interesting articles and commentary on the use of statistical
adjustment in bio-medical research. The main source for the
discussion was the difference in conclusions from comparing
the clinical trial and observational study sections of the
Women's Health Initiative. I include here a link to the
discussion by
Diana Petitti and David Freedman. I think you will find
it quite interesting and relevant to many of the things we
talk about during the semester.
Click here
to get a copy of the final exam from 2004. Keep in
mind that in 2004 I spent several weeks reviewing
regression and analysis of variance; I did not
teach the section on the Poisson distribution and
on standardizing rates, or the section on hierarchical models.
Click here to get a copy of the final exam from 2011.
Additional Information
Course Requirements
Course Goals
Reference Books and Useful Web Sites
Detailed Course Syllabus
Homework
Data Sets and SPSS Code