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st: Re: statistics courses via the web
I would like to make you aware of web-based courses that are being offered
www.statistics.com. Courses being offered from July through November 2005
are listed below. For a relatively small cost, courses are conducted entirely
over the web. Discussion areas are provided for instructor-participant
answers. Course texts are many times those written by the instructors, but
are used as well. In addition, courses provide numerous "handouts" for
references to other web sites having related instructional material.
Most courses are adaptable for users of major statistical packages. Stata is
package; it is used for all courses with which I am involved.
A number of courses have been taught during the first half of 2005 that will
not be repeated until 2006; e.g. the Generalised Linear Models course taught
by James Hardin and myself.
I have been involved with teaching with statistics.com for the last 2 years.
It's truly amazing how the course and participant base has grown. Given the
like one-on-one relationship between instructor and participant as a result
of the Discussion Area, participants get answers to their questions on a near
daily basis. Sometimes the feedback is immediate, at other times there may be
a delay of a day or so depending on holidays and weekends.
I typically call course registrants "participants" rather than "students"
since most folks taking these courses are professors and researchers from
around the world, not kids just starting to learn statistics. Certificates of
competition are given at the conclusion of the course, but there are no grades
that end up recorded on a transcript. Some courses -- like mine - have weekly
quizzes that are designed to help participants (who wish to do them) focus on
important issues. Full answers are provided afterwards.
There are new courses scheduled to be offered in 2006, including exact
statistics, multilevel and mixed models, and so forth. But you may find courses
that may interest you during the next six months.
Course and school information can be obtained by going to the
www.statistics.com web site.
If you would like additional insight into how the courses work, feel free to
contact me privately. I'm not associated with the school other than as an
instructor, but I've been at it for a couple of years now and am willing to
share my thoughts with interested members of the Stata family.
2005 COURSES JULY-NOVEMBER
Start date indicated
8 Introduction to Resampling Methods (Phillip Good)
Introduction to Statistics: Design and Analysis (Robert Hayden)
15 Sample Size and Power Determination (Phillip Good)
22 Introduction to R (Phillip Good)
5 Modeling Longitudinal and Panel Data (Joseph Hilbe & James Hardin)
19 Survey Design and Sampling Procedures (Anthony Babinec)
9 Introduction to Datamining (Anthony Babinec)
Introduction to Biostatistics (Clifford Blair)
Bias in Epidemiologic Research (Dave Kleinbaum)
16 Survey Analysis (Anthony Babinec)
23 Sample Size and Power Determination (Phillip Good)
30 Survival Analysis (Joseph Hilbe)
7 Data Mining: Unsupervised Techniques (Anthony Babinec)
Rule Induction (Anthony Babinec)
14 Analysis of Epidemiologic Data (Dave Kleinbaum)
21 Modeling Count Data (Joseph Hilbe)
Clinical Trial Design (Vance Berger)
28 Basic Concepts in Probability and Statistics (Robert Hayden)
4 Cluster Analysis (Anthony Babinec)
Data Mining - Security Applications (Dave Marchette)
11 The Statistics of Environmental Impact Assessment (Bryan Manly)
Logistic Regression (Joseph Hilbe)
18 Meta Analysis (Michael Borenstein)
25 Introduction to Statistics: Design and Analysis (Robert Hayden)
Instructor bios: http://www.statistics.com/content/courses/faculty.html
Note: Statistics.com courses run 3-5 weeks, and are organized so that you
can participate on your own schedule. There are no specific hours when you
must be online. Participants interact with the instructor via a private
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