free_LUNCH » Acronyms http://www.vibhavagarwal.com/blog a BLOG by vibhav agarwal Thu, 14 Apr 2011 02:49:04 +0000 en hourly 1 http://wordpress.org/?v=3.1.1 Missing Data Analysis http://www.vibhavagarwal.com/blog/2010/02/25/missing-data-analysis/ http://www.vibhavagarwal.com/blog/2010/02/25/missing-data-analysis/#comments Fri, 26 Feb 2010 03:26:48 +0000 Vibhav Agarwal http://www.vibhavagarwal.com/blog/2010/02/25/missing-data-analysis/ When taking THE ‘Market Intelligence’ course here at Goizueta, we came across a data set that contained lots of missing values. Yes, I know that most of the data sets you see out there have some missing data or the other. But when I started looking for material on how to deal with these data points (other than simply discarding them) I was frustrated not to find anything for a manager-type audience. Most of the discussion was for statisticians. So, based on what I heard in class, here is a flow diagram that should help. Note that there are some acronyms used, but you can look them up and find out what they mean. They are not difficult.

 

 

  1. Various Statistical packages have automated functionality to achieve this.
  2. Various options available to impute data. Use business judgement.

Optional

  • Run analysis with imputed data and dropped cases
  • Check for any significant difference in the models
  • Provide necessary details of imputation when presenting analysis
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