Re: proc score #4016 (3/9/2010 7:38:26 PM) comp.soft-sys.sas Hansi, You can either drop the _model_ variable when you call PROC LIFEREG: proc lifereg data=indat outest=OUTEST(drop=_model_); or rename the _model_ variable when you call PROC SCORE: proc score data=new... rhigh
Re: SAS nlmixed for count data with random effect058 (3/9/2010 7:20:20 PM) comp.soft-sys.sas Nitish, It would help to know more about the data set, but with 9.2 you can do the same analyses with GLIMMIX: PROC GLIMMIX method=laplace ; * or method= quad; model count = lnW / dist=poisson solution; rando... rhigh
Re: proc phreg with large dataset033 (3/2/2010 6:16:39 PM) comp.soft-sys.sas Christine, * the code you have proc phreg data=outf.fro_analysis_2_female nosummary; model (start_age,end_age)*outcome_flag(0) = birth_cohort_1 birth_cohort_2 start_age sex /ties=exact; run; is actually equi... rhigh
Re: How to specify the ESTIMATE statement in PROC MIXED #7030 (2/26/2010 7:10:44 PM) comp.soft-sys.sas Susie, I'd be extra careful about running it too carefree, though one can collect output stats with multiple runs with the ODS persist option: ods listing close; ods output estimates(persist=proc)=est tests3(... rhigh
Re: How to specify the ESTIMATE statement in PROC MIXED #5010 (2/26/2010 4:55:08 PM) comp.soft-sys.sas Why would you want to apply GLM when it very likely can't handle the repeated measures covariance nearly as well as MIXED or GLIMMIX? With that in mind, it is helpful to compare the new LSMESTIMATE statement w... rhigh
Re: Distribution #3027 (2/24/2010 9:40:42 PM) comp.soft-sys.sas Mohsen, My first reaction is why are the counts for plots I and J so much smaller and you want to test for equality? Given that they could be smaller, you can test that the proportion of the counts for the pl... rhigh
Re: CIBASIC #4012 (2/17/2010 4:12:17 PM) comp.soft-sys.sas Jules, It's not totally clear what your input data look like, but assuming they are already on a log scale and you have at least 2 observations for each level of mfgr and hrs, you could run: ods select BasicI... rhigh
Re: Model fit for ordinal multinomial models in GENMOD?09 (2/12/2010 6:50:43 PM) comp.soft-sys.sas Tobias, It is somewhat of a multi-step process, namely first determine if the cumulative logit model assumption is OK with LOGISTIC: PROC LOGISTIC DATA=indat; CLASS xvar / PARAM=glm; FREQ count; MODEL y = xva... rhigh
Re: Adding/dropping a random term in the model011 (2/11/2010 10:28:25 PM) comp.soft-sys.sas Bhupinder, Without further details on what you are doing and the design factors, this note is very incomplete. However, if you have version 9.2, I'd look at the COVTEST statement (experimental), something like... rhigh
Automating age bin creation228 (2/10/2010 4:53:48 PM) comp.soft-sys.sas Dear all: I want to create agebins in months but I find myself writing several lines of codes for this task. Given the age range I have my current method will take a long time to get all the codes in. Is the... linkyox(32)
anova "type" models in proc mixed125 (10/22/2009 5:06:26 PM) comp.soft-sys.sas we're trying to get some input about a simple model we've constructed to predict fish abundance....groups of a particular species of fish were collected during certain water quality conditions throughout multip... tarponquest(3)
"Non-est" issue in the Proc Mixed Procedure114 (6/22/2009 9:00:00 AM) comp.soft-sys.sas Dear Friends, We encountered a problem when we tried to get the estimates with the estimate statement in the PROC MIXED procedure, SAS always indicated "Non-est" in the output window and we still do not figur... medpower(36)
Behrens-Fisher' D with Proc logistic129 (6/10/2009 2:35:38 PM) comp.soft-sys.sas Hi All, To my knowledge, SAS does not provide the Behrens-Fisher' D statistics in logistic procedure. (Behrens-Fisher's D is a measure of separation for a binary performance variable. It is the difference in t... yingtaoliu(78)
2K Factorial Design Partial Confounding237 (4/9/2009 8:29:03 AM) comp.soft-sys.sas I'm a graduate student using SAS for the first time. I'm able to do 2^k designs, for example a 2^3 factorial design with 2 blocks: data engineer; input speed geo angle block effect @@; datalines; 2 2 2 1 22 ... cylurian(22)
ANCOVA testing for homogeneity of variances227 (2/5/2009 4:22:43 PM) comp.soft-sys.sas This is rather embarrassing to write about, as I feel as though I should know something as basic as this by now. I am attempting to run some very basic ANCOVA models. There is only one class variable with two t... rutz(46)
Calculating adjusted mean differences127 (12/14/2008 3:54:58 PM) comp.soft-sys.sas Does anyone have any examples of SAS code about how to calculate adjusted mean differences with corresponding 95% CI from a multivariable model? (I currently have the model set up with PROC GENMOD.) I'm inter... fraeman(1)