Hello   I am not sure if this is inappropriate here ... please let me know.   I am trying to make a rather complicated forest plot in SAS and having a lot of trouble -- more, I think, than is appropriate for a list like this.     I am interested in consulting with an expert on SGPLOT and probably the GTL to make a better forest plot program for SAS.  This could be for pay or just to write some SAS papers (or maybe both).    Is this a good place to look for such a person and, if not, what would be a good place?   Thanks.     ... View more

Hi and HNY   I am using SAS 9.4 TS 1M5 on Windows.   If I run title; proc quantreg ci=sparsity/iid algorithm=interior(tolerance=5.e-4) data=sashelp.bweight order=internal plots = none; model Weight = MomWtGain/quantile = (0.25, .5, .75); run; then I get some slightly puzzling results.   For each quantile (25, 50, 75) we have a. The actual quantiles which are 3062.0   3402.0  and 3720.0 b,  The predicted values at mean, which are 3068.02, 3394.93 and 3719.04 c. The intercepts which are  3062.0, 3389.46 and 3714.0   Sometimes they are exactly the same, sometimes slightly different.    Why is that? ... View more

Hello   I am using SAS 9.4 on Windows.   I want to do meta-regression.  I have the effect size (standardized differences of means), their standard errors, sample sizes and several covariates.   I'm familiar with PROC GLM and PROC MiXED and am aware that those are the main tools for meta-regression, but I wanted to get any tips or references that people had that are about meta-regression in particular, as opposed to more general regression problems   Thanks ... View more

Using SAS 9.4 1M6 on Windows.   I have been hired to replace a statistician who left a project.   One of my tasks is to help my boss revise a paper that the earlier statistician worked on. I can't get into specifics (it hasn't been published yet) but, briefly, the dependent variable was measured at 5 time points - 3 at or before baseline and 2 after treatment. The previous statistician used what she called "discontinuous growth curve analysis" but cited no source and the results tables don't make it clear what exactly she did.  My boss is not at all statistically inclined and, therefore, can't really help with this. The reviewers did not object to the previous analysis.   I'm thinking that this sounds like a model where there were multiple slopes fit to the results at different time points and that it would be expected that the baseline values would (on average) show no change while the slope from the 3rd baseline value to the first followup and from the first followup to the second would be expected to be nonzero.   I've not done this before in SAS. I'm not sure how to model it. I am considering:   PROC NLIN (seems right, but I have not used NLIN before) PROC GLIMMIX with a spline effect, restricting it to one knot. PROC GLIMMIX with an MM effect (I just found out about these).   Any thoughts are welcome   Peter ... View more