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Epidemiologic Statistics

Instructor(s):

Dates:

November 14, 2014 to December 19, 2014

Thank you for your submission.

Epidemiologic Statistics

taught by David Kleinbaum
and Mildred Maisonet

Aim of Course:

This is an introductory epidemiology course that emphasizes the underlying concepts and methods of epidemiology. Topics covered in the course include: study designs (clinical trials, observational studies, case-control studies, and cross-sectional), measures of disease frequency and treatment effect, and controlling for extraneous factors.

This course may be taken individually (one-off) or as part of a certificate program.

Course Program:

WEEK 1:  Epidemiologic Methodology

  • What is epidemiologic research
  • Methodologic issues

WEEK 2:  Study Designs

  • Clinical trial (brief overview)
  • Observational
  • Case-control
  • Cross-sectional

WEEK 3:  Measuring Diseases

  • Morbidity
  • Mortality
  • Incidence
  • Prevalence
  • Risk
  • Rate

WEEK 4:  Measuring Treatment Impact

  • Risk ratio
  • Odds ratio
  • Difference measures
  • Etiologic fraction
  • Number needed to treat
Note: Inference (significance testing and confidence intervals) for metrics like those listed above is covered in related Institute courses such as Biostatistics and Survival Analysis.


WEEK 5: Controlling Extraneous Factors (brief overview)

  • Bias
  • Confounding
  • Stratification
  • Matching

HOMEWORK:

Homework in this course consist of short answer questions to test concepts.

In addition to assigned readings, this course also has supplemental readings available online.

Epidemiologic Statistics

Be sure you meet all of the minimum requirements before you register, click here to learn more.

Instructor(s):

Dates:
November 14, 2014 to December 19, 2014

Course Fee: $629

Tuition Savings:  When you register online for 3 or more courses, $200 is automatically deducted from the total tuition. (This offer cannot be combined and is only applicable to courses of 3 weeks or longer.)


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Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

Epidemiologic Statistics

taught by David Kleinbaum
and Mildred Maisonet

Who Should Take This Course:

Administrators, practicing professionals, researchers, graduate or undergraduate and even high school students in the health, medical, and behavioral sciences interested in learning fundamental principles and methods of epidemiologic and public health research. This course is also intended to address increasing demands to provide training to public health professionals and students in developing countries that do not have convenient access to academic training in epidemiology and related public health fields.

Level:

Introductory

Prerequisite:
These are listed for your benefit so you can determine for yourself, whether you have the needed background, whether from taking the listed courses, or by other experience.
Course participants should have some background and/or interest in public health, medical research, or research in the behavioral sciences. The mathematics level is basic algebra.  Though not strictly required, if you plan to continue your study of medical statistics beyond this course we recommend taking the introductory course sequence at the Institute before starting this course.  This will allow you to move more readily into further courses for which the introductory sequence is a prerequisite.
Organization of the Course:

This course takes place online at the Institute for 5 weeks. 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 access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 6.25 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The required course material is ActivEpi, Version 2 courseware (on CD) and its accompanying ActivEpi Companion Text, Springer Publishers, 2003. This companion text in electronic form is contained on the ActivEpi CD.

CAUTION FOR MAC USERS:  As of June 2013, the Springer website had incomplete info about Mac compatibility.  ActivEpi does not run in native mode on the latest Macs with Intel core processors - you must use it with PC emulation software.

If you wish, you may purchase a printed version of the companion text here. Springer offers a generous discount on this book after providing the code AECT15 (this code is case sensitive) in the Promotion Code field when prompted during checkout time if you are from North or South America. The same code will work for the rest of the world if you order from the North American site, but may result in longer ship time and higher ship cost (alternatively, you can buy from local site with no discount.)

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

None


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