About jrushing_wfu

jrushing_wfu · ‎01-09-2013

Steve, do you think the following syntax looks right? I only want to impute for the variable DXCCS1, and want to use the other variables to help inform that process. DXCCS1 right now has about 40 levels. The dataset is huge--2.4 million records. proc mi data=all out= outall nimpute=10; class dxgrp ccsproc female discharge_loc; fcs nbiter=20 discrim(dxgrp) ; var dxgrp ccsproc newlos female discharge_loc age; /* newlos and age continuous*/ run; even with the large N ,it could still be a sparsity issue I guess, with some levels of CCSPROC (primary procedure, having 200 or so levels) having very little data. BELOW are the messages I get from SAS when running that code: NOTE: The FCS statement is experimental in this release. WARNING: The covariates are not specified in an FCS discriminant method for variable dxgrp, only remaining continuous variables will be used as covariates. WARNING: The covariates are not specified in an FCS discriminant method for variable ccsproc, only remaining continuous variables will be used as covariates. WARNING: The covariates are not specified in an FCS discriminant method for variable FEMALE, only remaining continuous variables will be used as covariates. WARNING: The covariates are not specified in an FCS discriminant method for variable discharge_loc, only remaining continuous variables will be used as covariates. WARNING: An effect for variable newlos is a linear combination of other effects. The coefficient of the effect will be set to zero in the imputation. ERROR: Floating Point Zero Divide. ERROR: Termination due to Floating Point Exception thanks for any feedback. Julia

jrushing_wfu · ‎01-09-2013

Thanks Steve. I will check this out. Julia

jrushing_wfu · ‎01-08-2013

I am trying to use multiple imputation in PROC MI to impute hospital diagnoses. according to the documentation it looks like I want to use the FCS method since diagnosis is a multi-level categorical variable. when I run my code I get that weird message about floating points. I am assuming the issue is that there are many levels to this variable. I tried to lump categories together and reduce the number of levels from about 235 to 40, but the proc still bombed. anyone here use PROC MI with the FCS statement when trying to impute a categorical variable? I can provide code I'm using if so. Maybe my syntax is wrong. also, when I run the proc it says that the FCS command is experimental in my release of SAS (9.3). thanks Julia

jrushing_wfu · ‎10-21-2010

thanks! I'd forgotten about recoding the 0/1 vars to 0/100 and taking the mean. that'll work.

jrushing_wfu · ‎10-21-2010

Hi. I'm using proc tabulate. I'm doing a table with variables that are yes/no, and I only want to see the percent who responded yes. by default tabulate wants to display the yeses and the nos. I used the classdata= option and the exclusive option, but not only does it suppress printing of the 'no' responses, it removes them from percentages (I want the percent of yeses out of the yes/no total). anyone know how to do this in tabulate? thanks Julia

jrushing_wfu · ‎11-06-2009

I figured it out. you have to specify the option walldisplay=none in the overlay statement that surrounds the blockplot. works great.

jrushing_wfu · ‎11-06-2009

Hi. I've been modifying the template from proc lifetest to put # at risk below the graph rather than inside the graph. I'm using Blockplot to place the # at risk. but i can't seem to get rid of the outer border of the blockplot. how can I do this? thanks

Re: Proc MI

Re: Proc MI

Proc MI

Re: suppressing class levels in tabulate

suppressing class levels in tabulate

Re: removing borders around blockplot

removing borders around blockplot