More Than a p-Value: Understanding the Differences Between Clinical and Statistical Significance
Source category: Analytics & Statistics
Author collections: Jasperlynn Kao · Elnaz Ghadimi
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Clinical programming connects study data, standards, analysis and reporting. Explore implementation papers on clinical trials, validation and repeatable workflows, then follow a focused topic for a particular dataset or deliverable.
981 papers · Showing 261–280
Source category: Analytics & Statistics
Author collections: Jasperlynn Kao · Elnaz Ghadimi
Source category: e-Posters
Source category: Poster Presentations
Author collections: Shubhranshu Dutta
Source category: Statistics and Analytics
Source category: OS
Author collections: Shweta Shukla · Sohan Lal
Source category: R, Python, and Open Source Technologies
Author collections: Praneeth Adidela
Source category: Poster Presentations (PP)
Author collections: Bill Qubeck · Shilpa Sood
Source category: Software Demonstrations (SD)
Author collections: Saurabh Das
Source category: Machine Learning, AI and Large Language Models
Author collections: Pankaj Attri · Sundaresh Sankaran
Source category: Machine Learning, AI and Large Language Models
Author collections: Kevin Lee
Source category: Analytics Risk-based Monitoring
Source category: OS
Author collections: Andre Couturier · Edward Gillian
Source category: People Leadership & Management (PM)
Author collections: Annemie Van Dijck
Source category: Application Development (AD)
Source category: Hands-On Training
Author collections: James Joseph
Source category: Data Visualisation (DV)
Source category: Poster Presentations (PP)
Author collections: Mathieu Cayssol
Source category: Machine Learning, AI and Large Language Models
Author collections: Anaya Rehman
Source category: Artificial Intelligence and Machine Learning
Author collections: Rohit Kadam · Saurabh Das · Rajasekhar Gadde · Niketan Panchal
Source category: Machine Learning, AI and Large Language Models
Author collections: Jing Dai