I think the latest version of SOLAS is considerably more useful, implementing Schafer-like routines that do a much better job at conditioning on available information. So I would not judge too much on the early releases. Rod
On Sat, 13 Apr 2002, Scott Millis wrote: > I've found SOLAS to be extremely limited--primarily using it for multiple > imputation of regression models. Paul Alison has a paper available from his > website that demonstrates problems with SOLAS's propensity method. > > For imputation using full information maximum likelihood, AMOS works > well. For MCMC multiple imputation, I've had good experience with SAS PROC > MI. Frank Harrell's SPLUS function transcan is also quite useful for a > variety of models. Finally, the set of SPLUS functions (MICE) is worth > looking into. > > SR Millis > At 06:43 PM 4/13/02 +0300, you wrote: > >Frank Lawrence (10.4.2002 18:33): > > >We are contemplating a purchase of SOLAS to impute missing longitudinal > > >data. I would like to hear from people who have used the program. > > > > > >Respectfully, > > >Frank R. Lawrence > > > > > > >We have used Solas for various purposes but not really for longitudinal data. > >Last value carried forward -method is included but it is not very much for > >real > >situations. Of ourse, if a user may first work much with other tools (like > >SAS > >and own programming), and when go to Solas just for an imputation task, the > >results may be OK. > >But I am interested in comments of anyone. An opportunity to discuss these > >issues and imputation and editing questions ingeneral will be soon in > >Jyvaskyla, > >Finland, where an international conference, DataClean 2002, will be held, > >29-31 > >May. Look: > >http://erin.mit.jyu.fi/dataclean/ > > > > > > ___________________________________________________________________________________ Roderick Little Richard D. Remington Professor of Biostatistics (734) 936-1003 U-M School of Public Health Fax: (734) 763-2215 M4045 SPH II [email protected] 1420 Washington Hgts http://www.sph.umich.edu/~rlittle/ Ann Arbor, MI 48109-2029
