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Title: ROC Cutoff

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Type of Tool SAS Macro
Title ROC Cutoff
Programmer/Email RuiChen
Contributing Site Rochester
Description The macro is used to find a cutoff for a continuous predictor, which maximizes the linear combination of specificity and sensitivity when the response variable is binary. A final logistic regression will fit a model using the resulting cutoff.
Example Example code
Classification Graph Type
References
Datasets
Data
Software Program SAS
Software SAS
Macro Parameters DSName = name of SAS data set
Dir = directory the result file saved.
ID = name of unique id for each observation.
Outcome = name of outcome binary variable.
PredictNum = name of numeric predictor variable.
Format = format of the outcome variable.
WSpec = any number within the interval [0,1], which maximizes WSpec*specificity+(1-WSpec)*sensitivity
e.g. if WSpec=1, the cutpoint is found to maximize the specificity
if WSpec=0, the cutpoint is found to maximize the sensitivity
if WSpec=0.5, the cutpoint is found to maximize the sum of the specificity and sensitivity
OutForm = HTML or RTF, Format of output file;
R-Code - Attachment
R-Code
SAS-Code - Attachment Rochester_ROC Cutoff_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
Example Code SAS Example Code
Example Output SAS Example Output
SAS Examples
SAS_Example_Code Rochester_ROC Cutoff_ SAS Example Code
SAS_Example_Output Rochester_ ROC Cutoff_SAS Example Output
R Examples
R_Example_Code
R_Example_Output
Stats Examples
Special Features
Special Features Attached
Special Features Text Provide a model ROC
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 Rui Chen 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. Chen, 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 > StatToolsTopic018
Topic revision: 06 Apr 2012, MaryBanach
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