14 min listen
Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials
Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials
ratings:
Length:
28 minutes
Released:
Sep 2, 2021
Format:
Podcast episode
Description
Roger J. Lewis, MD, PhD, discusses Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials with Melanie Quintana, PhD Related Content: Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials Effect of Therapeutic Hypothermia Initiated After 6 Hours of Age on Death or Disability Among Newborns With Hypoxic-Ischemic Encephalopathy: A Randomized Clinical Trial Incorporating Adult Evidence Into Pediatric Research and Practice: Bayesian Designs to Expedite Obtaining Child-Specific Evidence
Released:
Sep 2, 2021
Format:
Podcast episode
Titles in the series (28)
JAMA Guide to Statistics and Methods: Clinical researchers and biostatisticians use highly specialized language to help them discuss statistics and research methods efficiently. In 2019 JAMA published the JAMA Guide to Statistics and Methods, a book of short reviews that translate that... by JAMAevidence JAMA Guide to Statistics and Methods