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Richard Riley (R²) @richarddriley.bsky.social · 9d

thanks Richard 🙏⚽

Richard Riley (R²) @richarddriley.bsky.social · 9d

Giving a talk today which anyone can watch online: 1pm - 2pm
"The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models"
- intended for a broad audience (anyone doing or using prediction model research)
imperial-ac-uk.zoom.us/webinar/regi...

Welcome! You are invited to join a webinar: Research Methods Academy: Seminar - The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models. After registering, you w...

Led by Professor Richard Riley Join this Online Seminar on clinical prediction models estimate individual risk for outcomes from disease. Many studies lack rigorous design; this session will focus o...

imperial-ac-uk.zoom.us

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Reposted by Richard Riley (R²)

Community Rehabilitation Research Network @communityrrn.bsky.social · 16d

Webinar: The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models
From @nihr.bsky.social Research Support Service (RSS)
Led by @richarddriley.bsky.social from @unibirmingham.bsky.social

Tuesday 30 September 2025, 1-2pm

imperial-ac-uk.zoom.us/webinar/regi...

Welcome! You are invited to join a webinar: Research Methods Academy: Seminar - The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models. After registering, you w...

Led by Professor Richard Riley Join this Online Seminar on clinical prediction models estimate individual risk for outcomes from disease. Many studies lack rigorous design; this session will focus o...

imperial-ac-uk.zoom.us

1 1

Richard Riley (R²) @richarddriley.bsky.social · 16d

I'm giving a talk to the new RSS Research Methods Academy on 30th September at 1pm - "The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models" - intended for a broad audience, not just statisticians - register here imperial-ac-uk.zoom.us/webinar/regi...

Welcome! You are invited to join a webinar: Research Methods Academy: Seminar - The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models. After registering, you w...

Led by Professor Richard Riley Join this Online Seminar on clinical prediction models estimate individual risk for outcomes from disease. Many studies lack rigorous design; this session will focus o...

imperial-ac-uk.zoom.us

2

Reposted by Richard Riley (R²)

Richard Riley (R²) @richarddriley.bsky.social · Sep 2

*NEW COURSE*
"Individual Participant Data (IPD) Meta-Analysis Projects: A Practical Introduction"

📅 23-24 Sept 2025 | Online

Covers whole project: rationale & planning; obtaining, cleaning & harmonising IPD; risk of bias & meta-analysis; reporting and dissemination

t.co/2Jsz5si1I1

https://tinyurl.com/3y7phy86

t.co

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Richard Riley (R²) @richarddriley.bsky.social · 29d

*NEW PAPER*
"Guidelines for Meta-analyses and Systematic Reviews in Urology"

- Led by @vickersbiostats.bsky.social
- Addresses common shortcomings of meta-analysis articles
- Provides guidelines for improvement
- Applicable to all fields, not just urology

Hope helpful 🙏

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Reposted by Richard Riley (R²)

Andrew Vickers @vickersbiostats.bsky.social · Sep 5

This is big! Worked with great statisticians on guidelines for meta-analysis & systematic review. We discuss rationales for systematic review, evaluation & interpretation of heterogeneity, & common errors in network meta-analysis, funnel plots etc. www.europeanurology.com/article/S030...

Guidelines for Meta-analyses and Systematic Reviews in Urology

Our guideline comprises points addressing the conduct and interpretation of systematic reviews and meta-analyses in urology. Application of the guideline would lead to a more considered interpretation...

www.europeanurology.com

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Richard Riley (R²) @richarddriley.bsky.social · Sep 3

Tomorrow at 9am 👇

Richard Riley (R²) @richarddriley.bsky.social · Sep 1

Speaking at #RSS2025 this Thursday 9am about a general sample size framework for developing prediction models - note it is in a 'Data Science for Medicine & Health' session (not a prediction models session!) ... details below

I'll also upload to youtube next week

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Richard Riley (R²) @richarddriley.bsky.social · Sep 2

NOW OPEN FOR BOOKING:

"Statistical Methods for Meta-Analysis of IPD"
- October 1st to 3rd 2025 (online)

IPD Meta-Analysis Projects: a practical introduction for healthcare research"
- 23rd -24th September 2025 (online)

www.ipdma.co.uk/training-cou...

Training courses | IPD Meta-Analysis

www.ipdma.co.uk

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Reposted by Richard Riley (R²)

Lucy Teece | Stats Enthusiast @stateecetics.bsky.social · Sep 2

Got ideas for future sessions for @rssdiversity.bsky.social - join us 👇

Or drop me a message - I'd love to hear from you 🙏

RSS Celebrating Diversity @rssdiversity.bsky.social · Sep 2

📢 Statisticians at #RSSConf2025:

Join us on Platform5 at 12:50 for the Celebrating Diversity Networking Lunch 😋

Meet members of @rssdiversity.bsky.social & network with attendees interested in the RSS’ equity, diversity, inclusion, and accessibility work

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Richard Riley (R²) @richarddriley.bsky.social · Sep 2

*NEW COURSE*
"Individual Participant Data (IPD) Meta-Analysis Projects: A Practical Introduction"

📅 23-24 Sept 2025 | Online

Covers whole project: rationale & planning; obtaining, cleaning & harmonising IPD; risk of bias & meta-analysis; reporting and dissemination

t.co/2Jsz5si1I1

https://tinyurl.com/3y7phy86

t.co

4 3

Richard Riley (R²) @richarddriley.bsky.social · Sep 1

Speaking at #RSS2025 this Thursday 9am about a general sample size framework for developing prediction models - note it is in a 'Data Science for Medicine & Health' session (not a prediction models session!) ... details below

I'll also upload to youtube next week

7

Reposted by Richard Riley (R²)

Matthew Waterhouse @matthewwaterhouse.bsky.social · Aug 31

Very sorry to hear about Christopher Bidmead's death. As script editor, he gave DW a new lease of life during Tom's last year, with a season of extraordinarily interesting and tonally wide-ranging stories.

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Reposted by Richard Riley (R²)

Simon Guerrier @0tralala.bsky.social · Aug 29

Another unnecessarily nerdy plunge into old Target novelisations by Terrance Dicks, this time Doctor Who and the Abominable Snowmen: 0tralala.blogspot.com/2025/08/doct...

0tralala.blogspot.com

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Richard Riley (R²) @richarddriley.bsky.social · Aug 26

** session details:
9:15 - 10:45am
Bayesian methods 2
Location: Biozentrum U1.141
Chair: Lukas Andreas Widmer

Richard Riley (R²) @richarddriley.bsky.social · Aug 24

Speaking at #ISCB on Tuesday about a general sample size framework for developing prediction models - note it is in a Bayesian session (not the prediction models session!)

Talk is based on this preprint arxiv.org/abs/2504.18730

A general sample size framework for developing or updating a clinical prediction model

Aims: To propose a general sample size framework for developing or updating a clinical prediction model using any statistical or machine learning method, based on drawing samples from anticipated post...

arxiv.org

1

Richard Riley (R²) @richarddriley.bsky.social · Aug 25

*** UPDATE with session details:
9:15 - 10:45am
Bayesian methods 2
Location: Biozentrum U1.141
Chair: Lukas Andreas Widmer

1

Richard Riley (R²) @richarddriley.bsky.social · Aug 24

Speaking at #ISCB on Tuesday about a general sample size framework for developing prediction models - note it is in a Bayesian session (not the prediction models session!)

Talk is based on this preprint arxiv.org/abs/2504.18730

A general sample size framework for developing or updating a clinical prediction model

Aims: To propose a general sample size framework for developing or updating a clinical prediction model using any statistical or machine learning method, based on drawing samples from anticipated post...

arxiv.org

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Reposted by Richard Riley (R²)

Maarten van Smeden @maartenvsmeden.bsky.social · Aug 11

NEW PREPRINT

Explainable AI refers to an extremely popular group of approaches that aim to open "black box" AI models. But what can we see when we open the black AI box? We use Galit Shmueli's framework (to describe, predict or explain) to evaluate

arxiv.org/abs/2508.05753

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Richard Riley (R²) @richarddriley.bsky.social · Aug 5

*NEW PAPER*
"Extended sample size calculations for evaluation of prediction models using a threshold for classification"

- SS calculations to precisely estimate threshold-based measures, eg. sens, spec & F1
- use alongside SS for discrimination & calibration
- R, Python & Stata
tinyurl.com/42x99dd4

Extended sample size calculations for evaluation of prediction models using a threshold for classification - BMC Medical Research Methodology

When evaluating the performance of a model for individualised risk prediction, the sample size needs to be large enough to precisely estimate the performance measures of interest. Current sample size ...

tinyurl.com

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Reposted by Richard Riley (R²)

Simon Guerrier @0tralala.bsky.social · Jul 29

Thing from my day job: interview about team working to use extended reality (XR) to help autistic drivers: socialcare.today/2025/07/28/i...

Interview: XR driving school for autistic people

Last month, we reported that the National Autistic Society is working with the University of Exeter on a state-of-the-art project to use extended reality (XR) and gaming technology to help autistic pe...

socialcare.today

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Richard Riley (R²) @richarddriley.bsky.social · Jul 29

Led by Pedro Lopez-Ayala & Tobias Zimmermann
With @gscollins.bsky.social and myself

Still, many articles submitted to the BMJ poorly handle continuous variables - so we wanted to help raise awareness of potential solutions for a broad audience - hope helpful 🙏

Richard Riley (R²) @richarddriley.bsky.social · Jul 29

New paper in BMJ (Research Methods & Reporting):

“Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide”

led by Pedro Lopez-Ayala & Tobias Zimmermann with & myself

www.bmj.com/content/390/...

Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ar...

www.bmj.com

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Reposted by Richard Riley (R²)

Kenny Smith @finishedzine.bsky.social · Jul 25

Forty years ago, #DoctorWho took to the airwaves with the broadcast of Slipback, during the 18 month hiatus.

We speak exclusively to writer Eric Saward, the amazing @nicolabryant.bsky.social and guest star Nick Revell, about their memories of this hour-long story.

soundcloud.com/powerof3pod/...

281: The Making of Slipback

Remember when Doctor Who was put on hiatus, back in 1985? To help bridge the gap between Seasons 22 and 23, a six-part radio story was broadback on Pirate Radio 4, featuring Colin Baker and Nicola Bry

soundcloud.com

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Reposted by Richard Riley (R²)

The BMJ @bmj.com · Jul 25

Many high street health tests are unfit for purpose and need greater regulation, warn researchers in two studies.

These studies highlight issues over accuracy and suitability for public use, they say
www.bmj.com/content/390/...
www.bmj.com/content/390/...

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Reposted by Richard Riley (R²)

Ewan Carr @ewancarr.bsky.social · Jul 24

Running a workshop tomorrow on reproducible workflows in R at the King's Open Research Summer School.

📽️ Slides: ewancarr.github.io/reproducible-r
👩‍💻 Practical: ewancarr.github.io/reproducible-r/practical

Mildly terrified that Git on Windows will be my downfall—but we'll see. 😅

#rstats #opensci

Reproducible workflows in R

ewancarr.github.io

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