Return to Stat Tools Home
Score: $score, My vote: $mylast, Total votes: $sum |" }%
This topic: CTSpedia > WebHome > StatToolsHome > StatToolsTopic004
Topic revision: 06 Apr 2012, MaryBanach
Copyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Foswiki? Send feedback
Title: Linear Regression
Evaluate this tool by clicking on the stars:
- 5 stars = highest rating
- 1 star = lowest
- SCORE = average of all votes
Score: $score, My vote: $mylast, Total votes: $sum |" }%
Add Comments and then click on "Add comment" button
Please note any errors found in the macros.
%COMMENT%StatToolsForm edit
| Type of Tool | SAS Macro |
| Title | Linear Regression |
| Programmer/Email | RuiChen |
| Contributing Site | Rochester |
| Description | This is a macro for performing linear regression with a numeric outcome, checking model assumptions, and producing output that is arranged in a way suitable for use in publications. Some features that add convenience include checking model assumptions, finding the observation with the largest Cook's distance and leverage, and showing basic statistics for predictors. NOTE: There will be a RTF output file generated to save to user's local disk. Please specify the directory under which the output file is saved when calling %RegMacro. |
| Example | Example code and example graphic |
| Classification Graph Type | Fit Diagnostics |
| References | |
| Datasets | |
| Data | |
| Software Program | SAS |
| Software | SAS |
| Macro Parameters | >DSName: Name of SAS data set. Dir: Directory where the output file is saved. Using '\' for Windows and '/' for Linux. ID: Name of the variable for object ID. Outcome: Name of outcome variable. PredictNum: Name of the continuous covariates. PredictClass: Name of the categorical covariates. ClassRef : Reference value used to create the dummy variable for the corresponding PredictClass variable. If no reference is specified, a dot (.) must be input as a place holder and the highest value of the variable will be served as reference level. Format: Formats of the variables with with the same order in PredictClass. if no format defined for the corresponding qualitattive variable, a dot (.) must be input as a place holder. Diagnostic: Linear, ResidQuantile or N (default=N) -N: No diagnostic procedure is performed. -Linear: Creating and testing quadratic terms. -ResidQuantile: No plot but calculate the average squared studentized residual within each 10-percentile. Plot: Multiple, Residual, QQ, or N (default=N) -N: No plot will be generated. -Residual: Plot of residual vs. predicted value. -QQ: Q-Q plot. -Multiple: multiple plots. Outdata: Name of output SAS data set containing reg estimates, p-values, leverages, Cook's distances etc. Outfile: Name of output file Demographics: Y/N (default = N) -Y: Frequencies and percentages are displayed with qualitative variable values means and standard deviations are displayed with quantitative variable values. |
| R-Code - Attachment | |
| R-Code | |
| SAS-Code - Attachment | Rochester_Reg Macro_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 | July 15, 2010 |
| Example Code | SAS Example Code |
| Example Output | SAS Example Output |
| SAS Examples | |
| SAS_Example_Code | Rochester_Reg Macro_ SAS Example Code |
| SAS_Example_Output | Rochester_Reg Macro_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 | UCSF_Logistic Regression Rochester_Count Reg |
| Checklists | |
| Stat Tools Disclaimer | This SAS macro is developed by Rui Chen and other members in the Department of Biostatistics and Computational Biology at the University of Rochester under the auspice of the CTSA BERD with the intent to facilitate data analyses and reporting in clinical and related research. It is copyrighted by Dr. Chen, October, 2008 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. |
| Reference Image |
Topic revision: 06 Apr 2012, MaryBanach
Copyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors. Ideas, requests, problems regarding Foswiki? Send feedback