Glen Martin
@glenmartin.bsky.social
Senior Lecturer in Health Data Science, University of Manchester. Research interests in statistical methods for clinical prediction/prognostic models
Reposted by Glen Martin
**NEW OPEN-ACCESS PAPER**
“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"
- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss
1/n
“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"
- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss
1/n
July 8, 2025 at 6:56 AM
**NEW OPEN-ACCESS PAPER**
“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"
- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss
1/n
“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"
- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss
1/n
Reposted by Glen Martin
*NEW PAPER*
led by @glenmartin.bsky.social
"A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands"
Guidance about including multiple outcomes in prediction model development
tinyurl.com/5xhsvcxb
led by @glenmartin.bsky.social
"A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands"
Guidance about including multiple outcomes in prediction model development
tinyurl.com/5xhsvcxb
March 7, 2025 at 10:38 AM
*NEW PAPER*
led by @glenmartin.bsky.social
"A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands"
Guidance about including multiple outcomes in prediction model development
tinyurl.com/5xhsvcxb
led by @glenmartin.bsky.social
"A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands"
Guidance about including multiple outcomes in prediction model development
tinyurl.com/5xhsvcxb
Reposted by Glen Martin
**NEW BMJ PAPER**
"Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches"
- most models provide just a risk estimate
- we argue for presenting associated uncertainty too
- includes pros, cons, PPIE & methods
Hope helpful!
www.bmj.com/content/388/...
"Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches"
- most models provide just a risk estimate
- we argue for presenting associated uncertainty too
- includes pros, cons, PPIE & methods
Hope helpful!
www.bmj.com/content/388/...
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
Clinical prediction models estimate an individual’s risk (probability) of a health related outcome to help guide patient counselling and clinical decision making. Most models provide a single point es...
www.bmj.com
February 13, 2025 at 11:13 AM
**NEW BMJ PAPER**
"Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches"
- most models provide just a risk estimate
- we argue for presenting associated uncertainty too
- includes pros, cons, PPIE & methods
Hope helpful!
www.bmj.com/content/388/...
"Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches"
- most models provide just a risk estimate
- we argue for presenting associated uncertainty too
- includes pros, cons, PPIE & methods
Hope helpful!
www.bmj.com/content/388/...
Reposted by Glen Martin
Happy to share the first article of my PhD, which is now available as a pre-proof!
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
December 13, 2024 at 12:59 PM
Happy to share the first article of my PhD, which is now available as a pre-proof!
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃