<p>I would like to propose the following article:</p>

<pre><code>Paper 312-2012 
Handling Missing Data by Maximum Likelihood  
Paul D. Allison, Statistical Horizons, Haverford, PA, USA
</code></pre>

<p><a href="http://www.statisticalhorizons.com/wp-content/uploads/MissingDataByML.pdf" rel="nofollow">http://www.statisticalhorizons.com/wp-content/uploads/MissingDataByML.pdf</a></p>

<p>Missing data seems to be an area in which all applied statisticians are, or should be, interested (I hope this is not a controversial statement!), and perhaps some theoreticians are interested also :-) </p>
