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DATIC Workshop: Modern Approaches to Missing Data

  • 04 Jun 2012
  • 08 Jun 2012
  • University of Connecticut
DATIC is offering five week-long workshops in June and July, 2012. You can register online at http://www.datic.uconn.edu/

Brief descriptions of the workshops are included below.  Space is limited to 24 participants per workshop, so be sure to register soon.

DATA ANALYSIS TRAINING INSTITUTE OF CONNECTICUT (DATIC)
University of Connecticut
http://www.datic.uconn.edu/


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Modern Approaches to Missing Data                                                 June 4-8, 2012
         Instructor: Ofer Harel and Gregory Matthews


Missing data is a common complication in applied research, however, many practitioners are still ignoring this problem. Numerous examples from missing data literature demonstrate that dealing with missing data correctly is very important. Failure to correctly account for missing data creates many potential problems, including biased results, reduced power and inefficient estimates. Multiple Imputation (MI) is a comprehensive method used to handle problems of analyzing incomplete data. This workshop will introduce the vocabulary and main assumptions in the missing data literature followed by the introduction of the main ideas of MI with an emphasis on practical implementation of both fully and semi-parametric procedures. R, an open source (free) statistical software, which has steadily gained in popularity, will be introduced and used as the main statistical software for implementing imputation.


DATIC, founded in 2003 by David A. Kenny, offers professional development summer workshops in a variety of modern data analytic techniques.  All workshops are geared toward researchers who wish to utilize these techniques in their own work.  The maximum enrollment for all DATIC week-long workshops is 24 students, which allows for personal contact with the instructors and a great deal of hands-on learning. Although all workshops are introductory, they do assume familiarity with traditional statistical techniques such as multiple regression, as well as familiarity with a general purpose statistical software package, such as SPSS, SAS, R, Stata, etc. This summer, DATIC will offer 5 week-long training institutes on a variety of data analysis topics.  The cost of the workshops is $1100 if registration and payment are received prior to March 1st.  Online registration for the workshops is now open.

To register for any of these workshops, please go to http://www.datic.uconn.edu/


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