Standard error – Détails, épisodes et analyse

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Standard error

Mike Trott and Ravi Iyer

Sciences

Fréquence : 1 épisode/21j. Total Éps: 6

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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Apple Podcasts

🇬🇧 Grande Bretagne - socialSciences
14/07/2026
#74
🇬🇧 Grande Bretagne - socialSciences
13/07/2026
#44

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Liens partagés entre épisodes et podcasts

Liens présents dans les descriptions d'épisodes et autres podcasts les utilisant également.

https://www.australianclinicaltrials.gov.au/about/what-is-a-clinical-trial
2 partages
https://freetouse.com/music
1 partage
https://doi.org/10.1016/S2215-0366
1 partage

https://pmc.ncbi.nlm.nih.gov/articles/PMC1884542/pdf/bcp0058-0001.pdf
2 partages

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Derniers épisodes publiés

Liste des épisodes récents, avec titres, durées et descriptions.

Estimands

lundi 4 mai 2026 • Durée 20:52

Most clinical trials answer a question. But is it the right one?

The estimands framework is changing how researchers define what they're actually trying to measure, and why it matters more than you'd think. In this episode, we unpack what an estimand is, why the difference between "intention to treat" and "what really happened" keeps statisticians up at night, and how getting precise about your question changes everything downstream.

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Common stats terms explained (Part 2)

dimanche 1 mars 2026 • Durée 19:51

In this second instalment of a two-part series, we unpack some of the most commonly used – and most frequently misunderstood – statistical terms in clinical trials and medical research.

From p-values and confidence intervals to power, effect sizes, and Type I versus Type II error, we explain what these terms actually mean, how they’re used in practice, and where people often go wrong.

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Common stats terms explained (Part 1)

lundi 23 février 2026 • Durée 13:16

In this first instalment of a two-part series, we unpack some of the most commonly used – and most frequently misunderstood – statistical terms in clinical trials and medical research.

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Adaptive trials: a brief introduction

Épisode 2

mardi 10 février 2026 • Durée 20:57

Adaptive clinical trials are often described as “new”, “innovative”, or even “controversial” — but what do they actually mean in practice?

In this episode of Standard Error, we unpack the core idea behind adaptive trial designs. Starting from first principles, we explain why adaptive designs emerged, what problems they are trying to solve, and when they genuinely add value over traditional fixed designs.

The episode also introduces more advanced ideas — such as seamless designs and response-adaptive randomisation — while being honest about where these approaches help, where they don’t, and why complexity is not always a virtue.

This is a practical, concept-driven episode aimed at researchers, clinicians, and students who want to understand adaptive trials without being buried in equations.

If you want to understand how modern trials can evolve while they’re running — and why that’s harder than it sounds — this episode is a good place to start.

Link to Mike's adaptive trial that was published in The Lancet Psychiatry: https://doi.org/10.1016/S2215-0366(25)00129-4

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What is a clinical trial part 1: classical trial designs

Épisode 1

lundi 2 février 2026 • Durée 19:35

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

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What is the standard error podcast?

mercredi 21 janvier 2026 • Durée 05:53

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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