And you are also correct that the problem is not well specified. Thank you! Message 6 of 7 (543 Views) Reply 0 Likes StatDave_sas SAS Employee Posts: 149 Re: NEED HELP: LOGIT model w Robust S.E. Generated Mon, 24 Oct 2016 14:30:25 GMT by s_wx1157 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.8/ Connection my review here
Your cache administrator is webmaster. The other methods are resampling (jackknife delete one) and Fay's method for balanced replication. The estimates for the continuous variables agree regardless of what other variables are in the model. Message 5 of 7 (543 Views) Reply 0 Likes Dale Regular Contributor Posts: 169 Re: NEED HELP: LOGIT model w Robust S.E. https://communities.sas.com/t5/SAS-Statistical-Procedures/NEED-HELP-LOGIT-model-w-Robust-S-E/td-p/37145
However, I would trust the jackknife estimator more than I would a White estimator, as there are weaker assumptions, especially regarding independence.Steve Denham Message 9 of 10 (289 Views) Reply 0 Your cache administrator is webmaster. Showing results for Search instead for Do you mean Find a Community Communities Welcome Getting Started Community Memo Community Matters Community Suggestion Box Have Your Say SAS Programming Base SAS Programming
The system returned: (22) Invalid argument The remote host or network may be down. Logistic regression in PROC LOGISTIC vs GENMOD SAS-L, I've come across an inconsistency in the results output from LOGISTIC and GENMOD for a logistic regression. Generated Mon, 24 Oct 2016 14:30:26 GMT by s_wx1157 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.6/ Connection Proc Surveylogistic Ucla Message 1 of 10 (930 Views) Reply 0 Likes art297 Super Contributor Posts: 5,768 Re: White standard errors Options Mark as New Bookmark Subscribe Subscribe to RSS Feed Highlight Print Email
Is my question too easy or too difficult, or is there any problem about my question? Sas Proc Genmod Robust Standard Errors Best regards, Michael Ash, Assistant Professor of Economics and Public Policy Department of Economics University of Massachusetts--Amherst Amherst, MA 01003 tel 413-545-6329 413-545-2921 fax http://www-unix.oit.umass.edu/~maash Note that 20 clusters might be a little small for this method. you could try here The GLIMMIX procedure allows greater flexibility in specifying the within-cluster dependency structure than the GENMOD or SURVEYLOGISTIC procedures.
Message 3 of 7 (543 Views) Reply 0 Likes Dale Regular Contributor Posts: 169 Re: NEED HELP: LOGIT model w Robust S.E. Sas Robust Logistic Regression The formula looks like the famous sandwich to me. Reply Topic Options Subscribe to RSS Feed Mark Topic as New Mark Topic as Read Float this Topic to the Top Bookmark Subscribe Printer Friendly Page « Message Listing « Previous type = ...; statement in GLIMMIX.
General (Newbie) Question About Multinomial Logistic Regression 13. Message 1 of 7 (1,912 Views) Reply 0 Likes deleted_user N/A Posts: 0 Re: NEED HELP: LOGIT model w Robust S.E. Sas Proc Logistic Robust Standard Errors Cluster ID: CID Dependent variable - EVENT (1, 0) Independent variables - V1 (numeric values), V2 (categories: 1, 2, 3, 4, 5)，V3 (dummy variable: 1, 0). Sas Logistic Clustered Standard Errors This occurs for the dichotomous variables when they are included in the CLASS statement.
y is a 0/1 response variable x is an explanatory variable clus_var is a clustering variable, e.g., "city" or "hospital," if there is more than one observation per cluster (use this page So, what would be the right setup in SAS PROC to run this model in order to get the robust S.E. NEED HELP: LOGIT model w Robust S.E. Robust Standard Errors 6. Proc Surveyreg
The system returned: (22) Invalid argument The remote host or network may be down. Generated Mon, 24 Oct 2016 14:30:25 GMT by s_wx1157 (squid/3.5.20) Your request is rather vague. get redirected here So is example 1 in the GLIMMIX User Guide.
Options Mark as New Bookmark Subscribe Subscribe to RSS Feed Highlight Print Email to a Friend Report Inappropriate Content 12-01-2010 04:31 PM I would need a lot more information to give Proc Genmod Clustered Standard Errors Without further ado... Thanks a lot!
Please try the request again. Generalized Estimating Equations (GEE) estimation is used to fit the model. The EMPIRICAL option is specified on the GLIMMIX invocation statement. Proc Surveylogistic Example It is in the latter case that the EMPIRICAL option comes into play in a major way.
Be aware, though, that it is NOT a logistic model.Steve Denham Message 5 of 10 (289 Views) Reply 0 Likes kt_uwa1990 Contributor Posts: 21 Re: White standard errors Options Mark as Take a look at: http://pages.stern.nyu.edu/~adesouza/comp/sas.html Message 2 of 10 (289 Views) Reply 0 Likes kt_uwa1990 Contributor Posts: 21 Re: White standard errors Options Mark as New Bookmark Subscribe Subscribe to RSS Can anyone help please? useful reference And these 100 individuals are in 20 separate clusters; and there is dependency within the clusters, and the dependency structure is very flexible.
Message 4 of 10 (289 Views) Reply 0 Likes SteveDenham Super User Posts: 2,546 Re: White standard errors Options Mark as New Bookmark Subscribe Subscribe to RSS Feed Highlight Print Email Please try the request again. I can't find anywhere in the documentation for this procedure which actual statistic is used.Thanks!Devin Peipert Message 8 of 10 (289 Views) Reply 0 Likes SteveDenham Super User Posts: 2,546 Re: Top Robust standard errors with logistic regression by Michael A » Fri, 08 Mar 2002 10:41:40 Quote:> As a follow-up, the Stokes, Davis, & Koch (2000) book on Categorical > Data
That is very helpful.Regards,Devin Peipert Message 10 of 10 (289 Views) Reply 0 Likes « Message Listing « Previous Topic Next Topic » Post a Question Discussion Stats 9 replies 11-16-2012 The GLIMMIX procedure also supports computation of robust (sandwich) variance estimates through the EMPIRICAL option on the MODEL statement. Here is my situation - Data structure - 100 records, each for a different person. I'd presume one could do this > for any of the models estimated by Proc Genmod.
I had a VERY difficult time figuring this out; the search feature SAS OnlineDoc did not identify the command even with some obvious search terms. But, it's never been clear to me if these are actually the Huber-White sandwich robust standard error estimators, or if they are some variant--I can't find documentation really describing these. But, there are many other possibilities, and these can be handled with REPEATED statements in GENMOD, as indicated in other replies, or with a RANDOM _residual_ / sub= ....