NONMEM vs NLMIXED

4 messages 4 people Latest: Mar 13, 2002

NONMEM vs NLMIXED

From: Harvey Monder Date: March 13, 2002 technical
From:"Monder, Harvey" Subject:[NMusers] NONMEM vs NLMIXED Date:Wed, March 13, 2002 12:56 pm In view of the difficulty in validating NONMEM, some individuals have suggested that the new NLMIXED procedure in SAS may be a viable alternative as SAS is a validated/validatable product. I have not seen this procedure nor have I seen any references to results produced by it. Has anyone had any experience with this software? What is the functionality as compared to NONMEM? Regards, Harvey

Re: NONMEM vs NLMIXED

From: Amir A. Tahami Date: March 13, 2002 technical
From:"Amir A. Tahami" Subject:Re: [NMusers] NONMEM vs NLMIXED Date:Wed, March 13, 2002 2:39 pm Dear Harvey; NLINMIX is a SAS macro for fitting nonlinear mixed models using PROC NLIN and PROC MIXED. You can find this SAS macro (program written in SAS) and more details about that at the following link: http://ewe3.sas.com/techsup/download/stat/nlmm800.html Best regards, Amir A. TAHAMI

RE: NONMEM vs NLMIXED

From: Partha Nandy Date: March 13, 2002 technical
From:"Nandy, Partha" Subject:RE: [NMusers] NONMEM vs NLMIXED Date:Wed, March 13, 2002 2:41 pm Hi, Following up on the issue of validation..Does anyone have experience with validation of NONMEM and if so, to what extent the software was validated? I will appreciate the group's input in this regard. Thanks Partha

RE: NONMEM vs NLMIXED

From: Kenneth Kowalski Date: March 13, 2002 technical
From:"Kowalski, Ken" Subject:RE: [NMusers] NONMEM vs NLMIXED Date:Wed, March 13, 2002 2:55 pm Amir, Harvey, NMUSERS: Please note that NLMIXED (Harvey's original question) is different from NLINMIX. NLMIXED is a full-fledge PROC available in SAS Version 8. It has much the same functionality as NONMEM's $PRED for models that you want to specify on your own, however, it has nothing comparable to PREDPP. NLMIXED does have options for exact maximum likelihood estimation using quadrature-based methods in addition to first-order approximation methods such as those in NONMEM. Ken