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Title: Least Squares Mean Plot GEE

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Type of Tool SAS Macro
Title Least Squares Mean Plot GEE
Programmer/Email YinglinXia
Contributing Site Rochester
Description LSM Plot GEE macro computes and plots the least squares means from SAS PROC GENMOD procedure to implement the Generalized Estimating Equations (GEE) comparing across treatment and control groups over time. The user can choose one of the available working correlation matrices in PROC GEENMOD. The response variable can be continuous, binary, but not ordinal since least squares means are not available in current SAS version (9.2) for ordinal outcome.
Example Example code and example graphic
Classification Graph Type Line Plot
References
Datasets Other
Data
Software Program SAS
Software SAS 9.2
Macro Parameters The macro parameters are as follows:
DSname =name of SAS data set
DVar =name of response variable
time =name of time variable
group =name of treatment groups, which are dichotomized as treatment and control
Endtime =name of indicator of end time point variable
CovCat =name of categorical covariates
CovCon =name of continuous covariates
id =name of the variable for subject id
type =type of working correlation matrix
format =name of output format
title =name of title will be specified
R-Code - Attachment
R-Code
SAS-Code - Attachment Rochester_Least Squares GEE_Main Macro
SAS-Code
Stata-Code - Attachment
Stata-Code
Other Code - Attachment
Other Code
Called Data Manipulation
Called Tool/Utility
Called Checking Macro
Called Other
Creation-Date
Revision-Date March 8, 2010
Example Code SAS Example Code
Example Output SAS Example Output
SAS Examples
SAS_Example_Code Rochester_Least Squares GEE_ SAS Example Code
SAS_Example_Output Rochester_Least Squares GEE_SAS Output Image
Rochester_Least Squares GEE_SAS Example Output
R Examples
R_Example_Code
R_Example_Output
Stats Examples
Special Features
Special Features Attached
Special Features Text
Notes1-Legend Section with calls to needed macros
Notes1
Notes2-Legend Macro call with fully specified parameters
Notes2
Notes3-Legend Section with definitions of global macro parameters
Notes3
Notes4-Legend Section with definitions of local macro variables
Notes4
See Also
Checklists
Stat Tools Disclaimer This SAS macro is developed by Dr. Yinglin Xia, along with other members in the Department of Biostatistics and Computational Biology at the University of Rochester under the auspice of the CTSI BERD with the intent to facilitate data analyses and reporting in clinical and related research. It is copyrighted by Dr. Yinglin Xia, March, 2010 and distributed for free public access.
Discliamer The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated.
Permission Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF ERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT OLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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This topic: CTSpedia > WebHome > StatToolsHome > StatToolsTopic017
Topic revision: 06 Apr 2012, MaryBanach
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