Hi Santosh, Yes, with your setup, having EVID=2 records with e.g. DV=“.” for missing: the $TABLE output would per default include both the EVID=0 (observation) and EVID=2 (to obtain predictions) records. So if you output (in table file) IPRED or e.g. CIPREDI, these could contain predictions for both types of records.
Best regards Jakob Jakob Ribbing, Ph.D. Principal Consultant, Pharmetheus AB Cell/Mobile: +46 (0)70 514 33 77 jakob.ribb...@pharmetheus.com www.pharmetheus.com Phone, Office: +46 (0)18 513 328 Uppsala Science Park, Dag Hammarskjölds väg 36B SE-752 37 Uppsala, Sweden > On 25 Feb 2024, at 21:41, Santosh <santosh2...@gmail.com> wrote: > > Hi, > > I am familiar with the classic estimation/simulation methodology, wherein > predicted values (of DV, for example) are obtained after applying estimation > ($ESTIMATION) followed by simulation ($SIMULATION) .... > > > Is there a way to use an input NM dataset (having inserted longitudinal > records with blank DV ( EVID=2) such that non-missing DV records are used for > estimation and predicted DV values are generated for all EVID (including > EVID=2) records with only $ESTIMATION method? > > > TIA > Santosh > > -- *This communication is confidential and is only intended for the use of the individual or entity to which it is directed. It may contain information that is privileged and exempt from disclosure under applicable law. If you are not the intended recipient please notify us immediately. Please do not copy it or disclose its contents to any other person.* *Any personal data will be processed in accordance with Pharmetheus' privacy notice, available here <https://pharmetheus.com/privacy-policy/>.** *
