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From | Robert A Yaffee <bob.yaffee@nyu.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: survival analysis: left censoring/ truncation |
Date | Thu, 27 May 2010 00:33:51 -0400 |
Oliver, Stata can usually handle interval truncation and /or interval censoring. Robert Robert A. Yaffee, Ph.D. Research Professor Silver School of Social Work New York University Biosketch: http://homepages.nyu.edu/~ray1/Biosketch2009.pdf CV: http://homepages.nyu.edu/~ray1/vita.pdf ----- Original Message ----- From: Oliver Eger <oliver.eger@yahoo.de> Date: Wednesday, May 26, 2010 8:21 am Subject: st: survival analysis: left censoring/ truncation To: statalist@hsphsun2.harvard.edu > Dear Stata users, > > one more question to my survival analysis: > > My study ranges from 1900 till 2000. This is also the enrollment > period. Due > to my definitions, the onset of risk for each company is the year of first > mentioning in my data source. This means, according to my opinion, > that my > data is neither left censored nor left truncated. But I assume that at > least > some companies existed before 1900, without having exact information about > this. > > Are there any (technical/ statistical) alternatives to tread this left > borders of my data instead of doing this by definition? > > Best regards > Oliver > > ================================================ > Oliver Eger > Lehrstuhl für VWL - Innovationsökonomik > Universität Augsburg > Universität Hohenheim > Prof. Dr. Horst Hanusch - Prof. Dr. Andreas Pyka > ================================================ > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/