Hi All,   I am running a nlimixed procedure in the code below but getting large Gradient values. Any tip to address it is really appreciated.   SAS Code:   title"NLMIXED model"; proc nlmixed data=library.projectfulldata ; parms intercept=0 s0=1 b_age=0 b_gender=0 b_NUMGO=0 b_meandelay=0 b_meanrt=0 b_ADHD1=0 b_OCD1=0 b_ASD1=0 b_ADHDOCD1=0 b_ADHDASD1=0 b_stoperror1=0 b_goerror1=0 b_noresponse1=0 b_prepush1=0 b_stopcorrect1=0; eta=exp (intercept+ (b_age)*age+(b_gender)*gender+ (b_NUMGO)*NUMGO+(b_meandelay)*meandelay+ (b_meanrt)*meanrt+(b_ADHD1)*ADHD1+(b_OCD1)*OCD1 +(b_ASD1)*ASD1 +(b_ADHDOCD1)*ADHDOCD1 +(b_ADHDASD1)*ADHDASD1 +(b_stoperror1)*stoperror1+(b_goerror1)*goerror1 +(b_noresponse1)*noresponse1 +(b_prepush1)*prepush1 +(b_stopcorrect1)*stopcorrect1 + u0); p=eta/(1+eta); model stopcorrect~binary(p); random u0~N(0,s0) subject=id ; run;   SAS OUTPUT:   SAS Output Specifications Data Set LIBRARY.PROJECTFULLDATA Dependent Variable stopcorrect Distribution for Dependent Variable Binary Random Effects u0 Distribution for Random Effects Normal Subject Variable id Optimization Technique Dual Quasi-Newton Integration Method Adaptive Gaussian Quadrature Dimensions Observations Used 327309 Observations Not Used 0 Total Observations 327309 Subjects 13696 Max Obs per Subject 24 Parameters 17 Quadrature Points 3       Parameter Estimates Parameter Estimate Standard Error DF t Value Pr > |t| Alpha Lower Upper Gradient  0.007191 0.03493 14E3 0.21 0.8369 0.05 -0.06127 0.07565 -1933.22 -111E-14 0.003041 14E3 -0.00 1.0000 0.05 -0.00596 0.005961 3464.237 -0.03399 0.001581 14E3 -21.50 <.0001 0.05 -0.03709 -0.03089 -39226.8 0.01530 0.007302 14E3 2.10 0.0361 0.05 0.000992 0.02962 -3119.54 -0.06348 0.001451 14E3 -43.76 <.0001 0.05 -0.06632 -0.06064 -21301.3 0.001929 0.000024 14E3 80.07 <.0001 0.05 0.001882 0.001976 611828.1 0.000160 0.000042 14E3 3.84 0.0001 0.05 0.000078 0.000242 -168051 -0.00397 0.01599 14E3 -0.25 0.8037 0.05 -0.03532 0.02737 -77.9574 -0.00032 0.05434 14E3 -0.01 0.9953 0.05 -0.1068 0.1062 -29.3978 -0.00151 0.03943 14E3 -0.04 0.9695 0.05 -0.07880 0.07578 16.8127 -0.00066 0.06224 14E3 -0.01 0.9915 0.05 -0.1227 0.1213 -8.02057 0.001201 0.06859 14E3 0.02 0.9860 0.05 -0.1333 0.1357 -49.1149 0.5016 0.01378 14E3 36.39 <.0001 0.05 0.4746 0.5286 906.2667 -0.2435 0.01857 14E3 -13.11 <.0001 0.05 -0.2799 -0.2071 327.0716 -0.07538 0.03074 14E3 -2.45 0.0142 0.05 -0.1356 -0.01513 314.5398 -0.05688 0.04590 14E3 -1.24 0.2153 0.05 -0.1469 0.03310 251.5092 0.1292 0.01291 14E3 10.01 <.0001 0.05 0.1039 0.1545 -522.615 ... View more

Hi All,   I am running the following SAS Macro %GLIMMIX and get the error mesage in the log file. Any Help to address it is apprecieated:   SAS CODE:   %INCLUDE "C:\Users\Mohsen\Desktop\PracticumCourse\5-Good\HPGLIMMIX\HPGLIMMIX.sas" ; title "Using HPGLIMMIX macro"; %hpglimmix(data=library.projectfulldata, stmts=%str( class id age; model stopcorrect= age/s; random int/subject=id; ), error=binomial, maxit=50, link=logit, );   SAS LOG FILE:   options mlogic symbolgen mprint;  %INCLUDE "C:\Users\Mohsen\Desktop\PracticumCourse\5-Good\HPGLIMMIX\HPGLIMMIX.sas" ;  title "Using HPGLIMMIX macro";  %hpglimmix(data=library.projectfulldata, MLOGIC(HPGLIMMIX): Beginning execution. stmts=%str( class id age; model stopcorrect= age/s;  random int/subject=id; 13867 ), 13868 error=binomial, maxit=50, 13869 link=logit, ); ERROR: All positional parameters must precede keyword parameters. ... View more