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Standard error

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This podcast has
2 episodes
Language
English
Explicit
No
Date created
2025/09/18
Latest episode
2026/02/02
Average duration
13 min.
Release period
13 days

Description

Welcome to Standard Error, a podcast that takes the mystery out of clinical trial statistics. Each episode explores key concepts — from randomisation to risk ratios — in a way that’s clear, conversational, and (we hope) surprisingly enjoyable. Designed for researchers, clinicians, and the statistically curious. Co-presented by Dr Mike Trott, Research Fellow in Psychiatric Epidemiology at the University of Queensland, and Dr Ravi Iyer, statistician at Swinburne University.

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What is a clinical trial part 1: classical trial designs
2026/02/02
In this first episode, we step back from methods and results to ask a more fundamental question: what are clinical trials?  We unpack the ethical, scientific, and practical reasons trials exist, from uncertainty and equipoise through to patient benefit, decision-making, and health system impact. This episode sets the foundation for the series, framing clinical trials not as abstract statistical exercises, but as tools designed to answer real questions under real constraints. A couple of links related to this episode: https://www.australianclinicaltrials.gov.au/about/what-is-a-clinical-trial https://pmc.ncbi.nlm.nih.gov/articles/PMC1884542/pdf/bcp0058-0001.pdf
What is the standard error podcast?
2026/01/21
The Standard Error is a podcast about statistics, clinical trials, and the interpretation of evidence in medicine and health research. Hosted by researchers working in clinical trials and applied statistics, the podcast explores how evidence is generated, analysed, and communicated — and where common misunderstandings arise. Episodes examine core statistical concepts, trial design, and methodological debates, using real examples from published research. Topics include p-values and hypothesis testing, Bayesian and frequentist frameworks, trial endpoints, bias and uncertainty, and how statistical choices influence clinical conclusions. The aim is not to simplify complexity away, but to make it intelligible. The Standard Error is for clinicians, researchers, and anyone interested in how medical evidence is actually produced and interpreted. Music track: A Positive Direction by Aylex Source: https://freetouse.com/music Free Vlog Music Without Copyright SE

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