Stats >> Statistical Training Opportunities At Children's Mercy Hospital (November 5, 2001)

I have re-organized the data sets used in my training classes.

I've added some supplemental readings

and links to practice exercise sets.

The newest training classes

I've also made some major updates to

Jump to the complete list of classes.

Upcoming classes:


    Topic:                     “What Do All These Numbers Mean?  Confidence Intervals and P-Values”        

    Date:                       Friday, June 20, 2008

    Time:                       2:30 - 4:30 p.m.

    Location:                 Hi-Ways

    This class qualifies for 2 IRB Education Credits (IRBECs).


    Topic:                     “Statistical Evidence:  Apples or Oranges?”        

    Date:                       Thursday, August 28, 2008

    Time:                       1:00 p.m. - 4:00 p.m.

    Location:                 HHC 535

    This class qualifies for 3 IRB Education Credits (IRBECs).


   Topic:                     “Using SPSS to Describe Your Data”

    Date:                       Tuesday, September 9, 2008

    Time:                       1:00 – 4:00 p.m.

    Location:                OPC 1600

    This class does not qualify for IRB Education Credits (IRBECs).


    Topic:                     “What Do All These Numbers Mean?  Odds Ratios and Relative Risks”        

    Date:                       Tuesday, September 16, 2007

    Time:                       1:00 - 3:00 p.m.

    Location:                 Hi-Ways

    This class does not qualify for IRB Education Credits (IRBECs).


    Topic:                     “Statistical Evidence:  Who Was Left Out?”        

    Date:                       Tuesday, September 23, 2008

    Time:                       11:45 a.m. - 12:45 p.m.

    Location:                 By-Ways

    This class qualifies for 1 IRB Education Credit (IRBEC).


   Topic:                     “Using SPSS to Develop a Linear Regression Model”

    Date:                       Tuesday, October 21, 2008

    Time:                       1:00 – 4:00 p.m.

    Location:                 OPC 1600

    This class does not qualify for IRB Education Credits (IRBECs).


    Topic:                     “What Do All These Numbers Mean?  Likelihood Ratios”        

    Date:                       Wednesday, October 29, 2007

    Time:                       1:00 - 3:00 p.m.

    Location:                 HHC 535

    This class does not qualify for IRB Education Credits (IRBECs).


    Topic:                     “Statistical Evidence:  Mountain or Molehill”        

    Date:                       Wednesday, November 12, 2008

    Time:                       11:45 a.m. - 12:45 p.m.

    Location:                 Hi-Ways

    This class qualifies for 1 IRB Education Credit (IRBEC).


   Topic:                     “Using SPSS to Develop a Logistic Regression Model”

    Date:                       Tuesday, November 25, 2008

    Time:                       1:00 – 4:00 p.m.

    Location:                OPC 1600

    This class does not qualify for IRB Education Credits (IRBECs).


    Topic:                     “What Do All These Numbers Mean?  Regression Coefficients”        

    Date:                       Wednesday, December 10, 2008

    Time:                       11:45 a.m. - 12:45 p.m.

    Location:                 Hi-Ways

    This class does not qualify for IRB Education Credits (IRBECs).


    Topic:                     “Statistical Evidence:  Do the Pieces Fit Together?”        

    Date:                       Wednesday, December 17, 2008

    Time:                       1:00 p.m. - 4:00 p.m.

    Location:                 HHC 535

    This class qualifies for 3 IRB Education Credit (IRBECs).


Registration:

To register for any of Dr. Stephen Simon's classes, please go directly to the Master Event Calendar on The Scope.   Find the date of the class you wish to attend, click on the class title, and then click to register.  If you need further assistance, please contact Judy Champion in the Department of Medical Research, Biostatistics, ext.56784 or via Outlook email at jmchampion@cmh.edu.

NOTE: Signing up early for Dr. Simon's classes is encouraged and preferred. If there are insufficient attendees, the class will be cancelled/postponed within 24 hours prior to the scheduled start of the class.

Class list

Here's a quick list of all the classes. Click on a link to view the handout for that class.

SPSS Classes

Simple Statistics

What Do All These Numbers Mean?

Statistical Evidence

Miscellaneous Classes

Research Ethics

Seminar Series


Which class should I take first?

It doesn't really matter much which class you take. All of the classes stand on their own and don't have any pre-requisites. The most popular class by far is Stats #01: "Using SPSS to Manage Your Research Data." Almost everyone has to worry about data management. It is the first step before any others. Another popular class, and one that is good to take early is Stats #02: "Using SPSS to Describe Your Data."  It covers some very basic graphs and tables that are useful for almost every situation.

Can this class qualify for IRB Education Credits (IRBECs)?

After several discussions with Kathy Johnson, we tentatively agreed that classes talking about how to design a good research study should qualify for IRBECs. Many of my classes should therefore qualify. For now, I have identified classes 22, 32-35, 36, 42, 44, 51 and 52 as covering material relating to study design that would allow them to have IRBECs. The number of IRBECs would equal the length of the class, so a three hour class would earn you 3 IRBECs. This policy is still evolving. I will work closely with Kathy and with other members of the IRB to be sure that these classes address issues of importance from the IRB perspective.

Creative Commons License This work is licensed under a Creative Commons Attribution 3.0 United States License. It was written by Steve Simon and edited by Judy Champion. It was last modified on 04/01/10. Send feedback to ssimon at cmh dot edu or click on the email link at the top of the page.