Concept: The P-Value (Hypothesis Testing) Statistical Concept Definition: The P-value is the probability of obtaining a result at least as extreme as the one observed, assuming that the null hypothesis is true (i.e., assuming there is truly no difference between the groups). It quantifies the strength of the evidence against the null hypothesis. Clinical Significance: […]
Audio Overview: Statistical Concept Definition Confounding by indication (also known as “prognostic bias” or “susceptibility bias”) is a systematic error prevalent in observational research where the clinical reason for a treatment—the indication—is also a predictor of the outcome. In this scenario, the baseline risk of the patient, rather than the treatment itself, drives the observed […]
The following analysis differentiates Overall Survival (OS), Progression-Free Survival (PFS), Disease-Free Survival (DFS), and Disease-Specific Survival (DSS). These endpoints are distinct time-to-event metrics used to evaluate the efficacy of antineoplastic therapies. The definitions and interpretations below are grounded in the FDA Guidance on Approaches to Assessment of Overall Survival in Oncology Clinical Trials and the RECIST […]
Audio Overview: Relative vs. Absolute Risk Reduction: Understanding the True Benefit of a Medical Study When reviewing a new medical study—whether it involves a conventional drug, a supplement, or a lifestyle change—you will often see two different numbers used to describe the treatment’s effectiveness: the Relative Risk Reduction and the Absolute Risk Reduction. These two […]
Comment: Unfortunately, this study confirms a persistent issue. We repeatedly see this major discrepancy between the “known unknowns”—the clinical uncertainties the FDA rightly identifies during expedited approvals—and what actually gets published in high-impact journals and translated into clinical guidelines like the NCCN. The result is that frontline oncologists are often making treatment decisions with an […]
