Type of Tool | SAS Macro |
Title | False Discovery Rate |
Programmer/Email | YinglinXia, RuiChen |
Contributing Site | Rochester |
Description | The false discovery rate (FDR) enjoys a straightforward interpretation when used to control for false significant findings in multiple comparisons problems. Suppose that n tests out of m are declared significant at an FDR of .05, then on average 5% of these declarations can be expected to be false positives. This is in contrast to the classic type I error rate, which controls the chance of at least one false positive under the null hypothesis. This FDR macro carries out the computation to estimates the false discovery rate within the context of multiple comparisons. |
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References | |
Datasets | Other |
Data | |
Software Program | SAS |
Software | SAS |
Macro Parameters | dsn = name of SAS data set group = name of subset of p-values to be used for FDR inputs = names of variables of p-values pvalues = name of p-values for each variables alpha = significant level to be used to calculate FDR ResultsFormat = html format of the results file (the format can be updated based on user' choice) Usage: Specify the data set, group, inputs, pvalues, alpha. If FDR is applied to the entire data, then specify group=. |
R-Code - Attachment | |
R-Code | |
SAS-Code - Attachment | Rochester_FDR_Main Macro |
SAS-Code | |
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Other Code | |
Called Data Manipulation | |
Called Tool/Utility | |
Called Checking Macro | |
Called Other | |
Creation-Date | |
Revision-Date | July 10, 2009 |
Example Code | |
Example Output | SAS Example Output |
SAS Examples | |
SAS_Example_Code | |
SAS_Example_Output | Rochester_FDR_SAS Example Output |
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Special Features | |
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Notes1-Legend | Section with calls to needed macros |
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Notes2-Legend | Macro call with fully specified parameters |
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Notes3-Legend | Section with definitions of global macro parameters |
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Notes4-Legend | Section with definitions of local macro variables |
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Stat Tools Disclaimer | This SAS macro is developed by Dr. Yinglin Xia and Dr. Rui Chen, 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 and Dr. Rui Chen, July, 2009 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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