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/ > >
