Error In Computing The Variance Function Proc Genmod
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turn on suggestions Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. 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 SAS Procedures ODS and Base Reporting SAS/GRAPH and ODS Graphics General SAS Programming SAS Studio Data Management SAS Data Management Analytics SAS Statistical Procedures SAS/IML Software and Matrix Computations SAS Data Mining SAS Text and Content Analytics https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-genmod-error/td-p/85344 SAS Forecasting and Econometrics Mathematical Optimization, Discrete-Event Simulation, and OR Business Intelligence SAS Enterprise Guide Integration with Microsoft Office SAS Visual Analytics SAS Web Report Studio SAS Stored Processes Administration Administration and Deployment SAS Hot Fix Announcements SAS ITRM Learn SAS SAS Analytics U SAS Certification Customer Intelligence SAS Customer Intelligence SAS Intelligent Advertising Risk Management SAS https://communities.sas.com/t5/SAS-Statistical-Procedures/Proc-genmod-how-to-resolve-error-messages/td-p/33607 Risk Management SAS Viya About SAS Viya SAS Visual Data Mining and Machine Learning Coding on SAS Viya SAS Visual Investigator Health Care and Pharma SAS in Health Care Related Fields SAS Drug Development SASware Ballot Ideas Regional Groups Special Interest Groups SAS Community Denmark SANZOC CoDe SAS German SAS Visual Analytics Nederland Singapore SAS Global Forum 2017 SAS Communities Library Home / Analytics / Stat Procs / Proc genmod - how to resolve error messages Proc genmod - how to resolve error messages 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 Topic Next Topic » deleted_user N/A Posts: 0 Proc genmod - how to resolve error messages Options Mark as New Bookmark Subscribe Subscribe to RSS Feed Highlight Print Email to a Friend Report Inappropriate Content 05-19-2009 03:42 AM I have a data set that contains ~180,000 records, depicting the followup time from study recr
First | Previous | Next | Last ] By Author: [ First | Previous | Next | Last ] Font: Proportional Font LISTSERV Archives ALLSTAT Home ALLSTAT 2002 Options Subscribe or https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=allstat;4d785bda.02 Unsubscribe Log In Get Password Subject: Problem in PROC GENMOD in a SAS https://onlinecourses.science.psu.edu/stat504/book/export/html/179 program. From: Khaled Hassan <[log in to unmask]> Reply-To:Khaled Hassan <[log in to unmask]> Date:Mon, 8 Apr 2002 08:17:28 +0200 Content-Type:text/plain Parts/Attachments: text/plain (59 lines) Dear allstat users. In a SAS program. the procedure was as following: proc genmod data=ADJUST; CLASS RID &X AGECAT4 BCSEASON BCBFEXCL BCGBCONI BCCROWD; model &Y/days= &X AGECAT4 BCSEASON BCBFEXCL error in BCGBCONI BCCROWD / dist=poisson link=log; REPEATED SUBJECT=RID/type=exch; run; where &y is a variable =1 if its an event and 0 if nonevent and days is a person years of follow up. and all the independent variables are numeric and no missing observations. when I run the modle if the following log message: 567 proc genmod data=ADJUST; 568 CLASS RID &X AGECAT4 BCSEASON BCBFEXCL BCGBCONI BCCROWD; 569 model error in computing &Y/days= &X AGECAT4 BCSEASON BCBFEXCL BCGBCONI BCCROWD / dist=poisson 570 link=log; 571 REPEATED SUBJECT=RID/type=exch; 572 run; WARNING: The binomial response distribution is usually appropriate for a ratio response variable. NOTE: Non-integer response values have been detected for the POISSON distribution. NOTE: The scale parameter was held fixed. ERROR: Error in computing the variance function. NOTE: No convergence of GEE parameter estimates after 2 iterations. NOTE: The scale parameter for GEE estimation was computed as the square root of the normalized Pearson's chi-square. NOTE: The PROCEDURE GENMOD used 41.13 seconds. Can any one help me and explain the source of error and how i correct it. Wait to hear from you. Have a nice day. ******************************************* Khaled El_Sayed Hassan, M.Phil Demographer & Data Analyst US Naval Medical Research Center No. 3 (NAMRU3) Enteric disease Department Advanced Study Unit Tel: (202) 684-1375/6 Ext. 54 (202) 310-1082 (Home) Cellular: (20) 12-285-9778 Fax: (202) 684-9625 E-mail: [log in to unmask] [log in to unmask] URL: http://khalid.cjb.net/ Top of Message | Previous Page | Permalink JiscMail Tools Files Area | help RSS Feeds and Sharing RSS 1.0 feed RSS 2.0 feed Atom feed Search Archives Advanced Options Archives October 2016September 2016August 2016July 2016June 2016May 2016A
of independence Objectives Understand the basic ideas behind modeling repeated measure categorical response with GEE. Understand how to fit the model and interpret the parameter estimates. Useful Links GEE model in SAS documentation:http://support.sas.com/onlinedoc/913/getDoc/en/statug.hlp/genmod_sect39.htm SAS GEE model example with PROC GENMOD:http://support.sas.com/onlinedoc/913/getDoc/en/statug.hlp/genmod_sect7.htm GEE Model in R:http://cran.r-project.org/web/packages/gee/index.html R geepack: Generalized Estimating Equation Packagehttp://cran.r-project.org/web/packages/geepack/index.html Readings Agresti (2007) Ch. 9, Ch. 10 Agresti (2013) Ch. 11, Ch. 12 Liang, K.Y. and Zeger, S.L.(1986) "Longitudinal data analysis using generalized linear models". Biometrika, 73:1322. Zeger, S.L. and Liang, K.Y.(1986) "Longitudinal data analysis for discrete and continuous outcomes". Biometrics, 42:121130. To complete this lesson you should : read the online course material read suggested textbook pages complete the Discussion questions/exercises placed throughout the online material 12.1 - Introduction to Generalized Estimating Equations In Lesson 4 we introduced an idea of dependent samples, i.e., repeated measures on two variables or two points in time, matched data and square tables. We described the ways to perform significance tests for models of marginal homogeneity, symmetry, and agreement. In Lessons 10 and 11, we learned how to answer the same questions (and more) via log-linear models. In this lesson we will introduce models for repeated categorical response data, and thus generalize models for matched pairs. We have learned so far to model the count data as various generalized linear models with a key assumption of independence among the response. GEE approach is an extension of GLMs. It provides a semi-parametric approach to longitudinal analysis of categorical response; it can be also used for continuous measurements. Generalized Estimating Equations (GEE) We will focus only on basic ideas of GEE; for more details see cited references at the beginning of the lecture. GEE's were first introduced by Liang and Zeger (