title: Systems validation: application to statistical programs.
abstract: BACKGROUND
  In 2003, the United States Food and Drug Administration (FDA) released a guidance document on the scope of "Part 11" enforcement. In this guidance document, the FDA indicates an expectation of a risk-based approach to determining which systems should undergo validation. Since statistical programs manage and manipulate raw data, their implementation should be critically reviewed to determine whether or not they should undergo validation. However, the concepts of validation are not often discussed in biostatistics curriculum.
  
  
  CONCLUSIONS
  This paper summarizes a "Plan, Do, Say" approach to validation that can be incorporated into statistical training so that biostatisticians can understand and implement validation principles in their research.
  
  
  CONCLUSIONS
  Validation is a process that requires dedicated attention. The process of validation can be easily understood in the context of the scientific method.
authors.affiliation: Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, South Carolina, USA. carterre@musc.edu
authors.forename: Rickey E
authors.initials: RE
authors.lastname: Carter
mesh_terms: D002986:Clinical Trials as Topic / Q000379:methods / Q000706:statistics & numerical data*; D003199:Computer Systems / Q000592:standards*; D017408:Guidelines as Topic; D006801:Humans; D012986:Software Validation; D013597:Systems Analysis; D014481:United States; D014486:United States Food and Drug Administration / Q000458:organization & administration*