Friday, February 24, 2006

Re: st: simple way to create missing data that is "missing at random" from a small datset

Suzy: Something like this: *--------begin example---------- sysuse auto, clear gen p = invlogit(.1*mpg + rep78 -8) sum p hist p replace price = . if uniform() < p *-----------end example----------- HTH, Maarten

--- Suzy <scott_788@wowway.com> wrote:

> I would like to know if Stata has a nifty way of allowing the user to > purposely delete a proportion of data (from specified variables) so that > the missingness of the data meets the missing at random (MAR) > assumption. I generated a small, complete dataset and would like to > work through some multiple imputation procedures/formulas manually. > > Thank you, > Suzy > > > > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ >

----------------------------------------- between 1/2/2006 and 31/3/2006 I will be visiting the UCLA, during this time the best way to reach me is by email

Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands

visiting adress: Buitenveldertselaan 3 (Metropolitan), room Z214

+31 20 5986715

http://home.fsw.vu.nl/m.buis/ -----------------------------------------

___________________________________________________________ To help you stay safe and secure online, we've developed the all new Yahoo! Security Centre. http://uk.security.yahoo.com * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/


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