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From | Steve Samuels <sjsamuels@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Conditional logistic regression: how to |
Date | Thu, 14 Nov 2013 20:18:57 -0600 |
On Nov 14, 2013, at 8:59 AM, liliana wrote: Dear statlist users, I am trying to run a conditional logistic regression. The analysis consists of studying the determinants of child mortality. Before running the conditional logistic regression I should randomly select pairs from each sample, consisting of one death reported during five years preceding the survey and one birth that still survived at the survey time. Moreover, I have also imputed the missing values of an explanatory variables, which means that before the stata command I should insert the mi estimate: option. What I have done in Stata is set seed 8021 then I have declared my data to be survival data and then sttocc, match(mortality), where mortality is a dummy variable assuming value 0 if the child died during five years preceding the survey. Then I go with: mi estimate: clogit y x1 x2, group(_set) Stata tells me that (regular variables _st _d _t _t0 unregistered because not in m=0) groups (strata) are not nested within clusters an error occurred when mi estimate executed clogit on m=1 r(459); May you tell me what's wrong with these commands, please? Thank you very much. Best, Liliana -- View this message in context: http://statalist.1588530.n2.nabble.com/Conditional-logistic-regression-how-to-tp7580452.html Sent from the Statalist mailing list archive at Nabble.com. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/