Yet Another Excellent Explainer About P-Values in Randomized Trials

Sensible Medicine

Contenido proporcionado por Sensible Medicine Authors - Prasad/Cifu/Mandrola/Demania/Makary/Cristea/Alderighi & More and Sensible Medicine Authors - Prasad/Cifu/Mandrola/Demania/Makary/Cristea/Alderighi. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sensible Medicine Authors - Prasad/Cifu/Mandrola/Demania/Makary/Cristea/Alderighi & More and Sensible Medicine Authors - Prasad/Cifu/Mandrola/Demania/Makary/Cristea/Alderighi o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

5M ago 44:05

MP3•Episodio en casa

Gosh was I lucky to speak with Professor Erik Van Zwet from Leiden University in the Netherlands. He is the first author on a recent NEJM Evidence paper looking at more than 23,000 trials in the Cochrane Database. (I linked to an URL that should get by the paywall.)

There are technical aspects of this paper. We hit on some (not a lot) of them. The gist of it though is really important when we look at evidence. Erik did an excellent job of explaining P-values, trial power, and, at the end, we discuss how this work might inform the ability of trials to replicate.

This discussion also pairs well with one I had with computer scientist Ben Recht.

I hope you enjoy the conversation.

Please do consider subscribing or supporting our work as Sensible Medicine remains an ad-free user-supported place to learn about medical evidence. JMM

Sensible Medicine is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber.

This is a public episode. If you’d like to discuss this with other subscribers or get access to bonus episodes, visit www.sensible-med.com/subscribe

75 episodios

#Science #Fitness #Medicine