JAMAevidence Users' Guides to the Medical Literature

Gordon Guyatt, MD, discusses economic analysis with Paul Moayyedi, PhD

Gordon Guyatt, MD, discusses Misleading Presentations of Clinical Trial Results with Victor Montori, MD Related Content: Misleading Presentations of Clinical Trial Results with Dr Victor Montori When Can Intermediate Outcomes Be Used in Clinical Trials? When Guidelines Recommend Shared Decision-making

Anne M. Holbrook, MD and Gordon Guyatt, MD, discuss Surrogate Outcomes from the JAMA Users’ Guides to the Medical Literature Related Content: When Can Intermediate Outcomes Be Used as Surrogate Outcomes? FDA Acceptance of Surrogate End Points for Cancer Drug Approval: 1992-2019 What Constitutes a Valid Surrogate End Point in Cancer Clinical Trials?

Yun Liu, an expert in machine learning applications in medicine, unpacks the complexities of reading medical literature influenced by algorithms. He clarifies key concepts like artificial intelligence and deep learning, emphasizing their roles in diagnostics. Liu discusses how algorithms transform medical imaging workflows and the importance of validating machine learning models with diverse datasets. He also highlights challenges in predictive accuracy, illustrating with dermatology and the essential balance of technology and clinician expertise.

JAMA Deputy Editor Edward Livingston, MD, discusses "Cluster Randomized Trials: Evaluating Treatments Applied to Groups" With William J. Meurer, MD, MS

Ed Livingston, MD, FACS, AGAF, discusses Dose-Finding Trials: Optimizing Phase 2 Data in the Drug Development Process with Kert Viele, PhD

Ed Livingston, MD, FACS, AGAF, discusses Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Amy Kaji, MD, PhD

Gordon Guyatt, MD, MSc, discusses Decision-making and the Patient with Victor Montori, MD, MSc.

Edward Livingston, MD, a distinguished editor, and Roger J. Lewis, MD, PhD, a physician and biostatistician, dive into the complexities of medical statistics. They emphasize the need to balance statistical rigor with accessibility, ensuring clinicians can confidently interpret data. The duo critiques traditional stats education and stresses real-world applications, featuring feedback praising the clarity of their book. They also explore the evolution of statistical methods, highlighting advancements like causal analysis. This discussion aims to make research more relevant and digestible for healthcare practitioners.

Gordon Guyatt, MD, MSc, discusses the application of the results of systematic reviews and meta-analyses to individual patients with author Thomas Agoritsas, MD.