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Paper 17932018 Runtime Validation of SAS Jobs: A Threesome of ErrorThrowing Macros Quentin McMullin, Siemens HealthineersABSTRACT SAS programming can feel fraught with danger. Each time a program
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01
To fill out run-time validation of sasampampreg, follow these steps:
02
Open the sasampampreg program in your SAS software.
03
Locate the section or program step where you need to perform run-time validation.
04
Identify the variables or data objects that require validation.
05
Determine the validation rules or conditions that need to be applied to these variables or data objects.
06
Use appropriate SAS functions or macros to implement the validation rules.
07
Test the run-time validation by executing the program or relevant section.
08
Review the validation results to ensure that the desired validation outcomes are achieved.
09
Make any necessary adjustments or modifications to the validation rules if needed.
10
Repeat the testing process until the run-time validation is satisfactory.
11
Document the run-time validation process for future reference.

Who needs run-time validation of sasampampreg?

01
Run-time validation of sasampampreg is typically needed by researchers, statisticians, or data analysts working with SAS software and utilizing the sasampampreg procedure for regression analysis.
02
It is useful for individuals who want to ensure the accuracy and validity of their regression models by validating the data and assumptions during program execution.
03
Run-time validation helps in identifying any potential issues or errors in the regression analysis process, allowing for corrective measures to be taken before finalizing the results.
04
Organizations or individuals involved in data-driven decision making can benefit from run-time validation to ensure the reliability and integrity of their regression models.
05
Run-time validation serves as a quality control mechanism and aids in building robust and trustworthy regression models.
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