Statistical Review – P-values, Outcomes, Point-estimates and Confidence Intervals
Ever read a paper and feel a bit confused about all the statistical jargon and how to properly interpret the findings? At NEJM Resident 360, we’re trying something new and bringing you Statistical Review which aims to cover some key areas in research methodology and trial design. On this episode, we aim to cover basic ground over study end-points, point-estimates, confidence intervals, and p-values.
00:00 – Introduction 01:50 – Outline of paper 02:25 – Statistical concepts: p-values, end-points, point-estimates and confidence intervals 03:10 – Background 03:36 – Primary vs Secondary end-points, what do they mean? 06:35 – Pitfalls of secondary end-points 08:30 – Point estimates and confidence intervals and how to use them 10:05 – Why a paper with no p-value? 10:59 – Takeaways
This podcast is part of the series, Curbside Consults, which complements the foundational information in Rotation Prep by taking a deep dive into key topics with expert clinicians and educators. As we explore the details of pathophysiology and critique the evidence behind clinical practice, these conversations are intended to give you a better understanding of the topic and greater confidence when treating your patients.
Angela Chen is a 2018-2019 NEJM editorial fellow. She is an endocrine fellow who trained at Flinders Medical Centre and the Royal Adelaide Hospital. Angela received her medical degree from the University of Adelaide, and masters of public health from the University of Sydney. Her clinical and research interests are in the areas of glucocorticoid and cardiovascular endocrinology and diabetes medicine.
Angela Castellanos is a general pediatrician and editorial fellow at the NEJM.