Type of Tool | SAS Macro |
Title | Least Squares Mean Plot for Mixed Models |
Programmer/Email | YinglinXia |
Contributing Site | Rochester |
Description | The LSM Plot MIXED macro computes and plots the least squares means from SAS PROC MIXED procedure for comparing two treatment group means adjusted for covariates in the model over time. The user can choose one of the available working correlation matrices in PROC MIXED as well as methods for inference (maximum likelihood (ML) vs. restricted maximum likelihood (REML)). The data set needs to follow a longitudinal format as required by PROC MIXED. |
Example | Example code and example graphic |
Classification Graph Type | Line Plot |
References | |
Datasets | Other |
Data | |
Software Program | SAS |
Software | SAS |
Macro Parameters | 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 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 =output format title =name of title |
R-Code - Attachment | |
R-Code | |
SAS-Code - Attachment | Rochester_Lease Squares Mixed Plot_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 | February 12, 2010 |
Example Code | |
Example Output | SAS Example Output |
SAS Examples | |
SAS_Example_Code | |
SAS_Example_Output | Rochester_Least Squares Mean Plot Mixed_Image Rochester_Least Squares Mean Plot Mixed_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, February, 2010 and distributed for free public access. Example(s) ExampleRun?.sas: An example to execute the LSMPlotMIXED? macro. |
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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