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Perspectives in Clinical Research|May 4, 2016
Common pitfalls in statistical analysis: The perils of multiple testingPriya Ranganathan, C S Pramesh, Marc BuysePerspectives in Clinical Research|April 17, 2015
Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervalsPriya Ranganathan, C S Pramesh, Marc BuysePerspectives in Clinical Research|November 8, 2017
Common pitfalls in statistical analysis: Measures of agreementPriya Ranganathan, C S Pramesh, Rakesh AggarwalPerspectives in Clinical Research|August 5, 2022
Research studies on screening testsRakesh Aggarwal, Priya Ranganathan, C S PrameshPerspectives in Clinical Research|July 26, 2016
Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysisPriya Ranganathan, C S Pramesh, Rakesh AggarwalPerspectives in Clinical Research|August 1, 2015
Common pitfalls in statistical analysis: Clinical versus statistical significancePriya Ranganathan, C S Pramesh, Marc BuysePerspectives in Clinical Research|May 16, 2022
Equivalence trialsPriya Ranganathan, C S Pramesh, Rakesh AggarwalPerspectives in Clinical Research|November 29, 2023
Virtual clinical trialsPriya Ranganathan, Rakesh Aggarwal, C S PrameshPerspectives in Clinical Research|February 24, 2022
Non-inferiority trialsPriya Ranganathan, C S Pramesh, Rakesh AggarwalPerspectives in Clinical Research|May 5, 2025
Time-to-event analysisPriya Ranganathan, Vishal Deo, C S PrameshPageof 27