Sarah Booth

Lecturer in Medical Statistics at the University of Leicester @UoL_Biostats @UoL_Health_Sci (she/her)

[Sarah Booth @sarahbooth321]

My first paper is published @IJEeditorial!
Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time @MJRutherford9 @pclambert123 @Richard_D_Riley @joie_ensor

Available here: https://t.co/9nA0qZNX4v

[UoL Population Health Sciences @UoL_Health_Sci]

JOBS | Research Associate for project on statistical methodology for prognostic models FT/PT (min 0.5FTE, 18.75 hrs/wk) or job share considered Fixed term contract until 28/2/26 Funded by NIHR Closes 12 Feb @sarahbooth321 @MJRutherford9 @UoL_Biostats https://t.co/lnLFY7TkwJ

[Sarah Booth @sarahbooth321]

We're holding a webinar about our undergraduate @NIHRresearch Medical Statistics internships this Friday 31st May at 10am for students to:

📊Find out more about the projects
😀Meet the supervisors
❓ Ask questions

Please email [email protected] if you'd like to attend!

[Sarah Booth @sarahbooth321]

@NIHRresearch Undergraduate Internships

📢We are currently advertising 3 Medical Statistics internships at @UoL_Biostats

📅Deadline for applications: 7th June
https://t.co/E9jXBHFokt

Please email us ([email protected]) if you have any questions

[Sarah Booth @sarahbooth321]

@NIHRresearch Undergraduate Internships

📢We are currently advertising 3 Medical Statistics internships at @UoL_Biostats

📅Deadline for applications: 7th June
https://t.co/E9jXBHFokt

Please email us ([email protected]) if you have any questions

[PPIE for better statistical methodology research @Stats_PPIE]

NIHR workshop on PPIE for statistical methodology research (🗓️26th Feb 🗺️Leicester) is OPEN for expressions of interest. 50 free places, complete EoI by 16/01/24 https://t.co/j80UoZLC1p. Places will be confirmed by 31/01/24. @NIHRinvolvement

[Mohammad Ali @Mo_R_Ali]

Our paper on symptoms in people with heart failure (HF) is out in @Heart_BMJ. Using primary care records, we investigated if symptoms experienced just before HF diagnosis were associated with hospitalisation and mortality. They (mainly) are🧵@kamleshkhunti
https://t.co/pcSnEE8fb2

[NIHR ARC East Midlands @ARC_EM]

🔍New Study Alert

Prognostic models forecast patient health progression. Accuracy is essential for clinical use. Our study will look to enhance #COPD mortality risk predictions with new data.

https://t.co/1MNiMRbzFH

@sarahbooth321 @JonnyBroomfield @MJRutherford9 @UoL_Biostats

[Mark Rutherford @MJRutherford9]

Nice extension of the temporal recalibration approach to competing risks settings, allowing more up-to-date estimates of cumulative incidence functions. Useful when developing prognostic models, particularly for longer-term risks. Led by @sarahbooth321, thanks to all co-authors.

[Richard Riley (R²) @Richard_D_Riley]

📢 NEW OPEN-ACCESS PAPER

"Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time"
https://t.co/lbdbFv6bDz

Many thanks to @sarahbooth321 for leading this work to improve calibration

[PPIE for better statistical methodology research @Stats_PPIE]

🎬RESOURCE🎬: We have co-developed an animation to help public contributors understand what statistical methodology research is and why #PPIE is important for this type of research. Please use and share @NIHRinvolvement @NIHRresearch https://t.co/GsOAi3TQvN

[Sarah Booth @sarahbooth321]

Further details about our PhD on developing more accurate estimates of life expectancy for individuals with multiple long-term health conditions available here (deadline: 16th April): https://t.co/LmqELPi04Y Any questions, please do get in touch!

[Mark Rutherford @MJRutherford9]

32 funded PhD studentships including one led by @sarahbooth321, with myself and @pclambert123, looking at fairly comparing life expectancy impact for individuals with multiple long-term health conditions. Application details below. Deadline 16th April. Feel free to get in touch.

[Biostatistics: Uni of Leicester @UoL_Biostats]

Providing up-to-date risk estimates from prognostic models: further development and application of temporal recalibration

Deadline: 31 January 2023

w/ Dr Mark Rutherford, Dr Sarah Booth, Dr Richard Allen

https://t.co/HTxNDIhB1l

[Mark Rutherford @MJRutherford9]

PhD funding available. Key extension of improved risk prediction for polygenic risk scores and competing risks scenarios. Wider cohort of students and training as part of the Wellcome Trust Doctoral Training Programme at Leicester. Deadline 2nd December.

[Sarah Booth @sarahbooth321]

@wellcometrust PhD project on risk prediction with me, @MJRutherford9 and @rjallen513 at @uniofleicester!
• Start: September 2023
• Funding: 4 years (£19,919-£23,997)
• Deadline: 2nd December
• Contact us if you have any questions!
https://t.co/tcBbXZ6UM1

[Mark Rutherford @MJRutherford9]

NEW PAPER: Want to fairly compare cancer survival outcomes across groups with different other-cause mortality risks? Tired of trying to explain/interpret relative survival and "hypothetical worlds where you can't die of anything but cancer"? Have a read...
https://t.co/ph7hyK1bvr

[Richard Riley (R²) @Richard_D_Riley]

Sneak preview of our new sample size paper coming out soon in Statistics in Medicine ...

[Biostatistics: Uni of Leicester @UoL_Biostats]

😄Lots of fab talks at #ISCB2021

👩‍💼Drop in later today to hear @SarahBooth321 talk about "Accounting for improvements in survival when developing risk prediction models in a competing risks setting" 📈🔮⚔️

➡️OC3C: Dynamic prediction
⏰20/07 14:12CEST/13:12BST
#SurvivalAnalysis

[Asjad Naqvi @AsjadNaqvi]

The Stata Guide (https://t.co/QpN57hOULU) is slowly growing with over 180 subscribers now. On average three articles are added each month and the topics covered are branching out. A lot more is planned on the dataviz side but I also want do more on the research side.

[Paul Lambert @pclambert123]

New paper on direct modelling of marginal relative/net survival. Joint work with @betty_syriop and @MJRutherford9. https://t.co/2Wdh1OSqQB

[Biostatistics: Uni of Leicester @UoL_Biostats]

🎉Our Epi/Stats Summer Seminar Series kicks off today at 12:00🎇

We're starting with an #InternalSeminar from @sarahbooth321, who will be presenting her PhD work on "Up-to-date prognostic modelling of more detailed population-based cancer data"🔮♋📈

#Prognostic #CancerResearch

[Sarah Booth @sarahbooth321]

@ICRharry I’m not too sure but potentially it might also depend on the outcome of interest. For example, cancer mortality may remain the same but if the recruitment takes place over a very long time period there might still be slight reductions in the other cause mortality over time

[Sarah Booth @sarahbooth321]

Looking forward to presenting this afternoon at #iscb41 #ISCB2020

[Biostatistics: Uni of Leicester @UoL_Biostats]

🗓️Tuesday 25th
⏰15:26 to 16:44
➡️OC28 - Personalised Medicine
👩‍💼 @SarahBooth321
🗣️Accounting for calibration drift due to improvements in baseline survival during prognostic model development

↕️↔️📉

[Sarah Booth @sarahbooth321]

@ICRharry Thanks Harry, I also enjoyed your presentation! I’ve been applying this to registry data so there are often changes in treatments and policies over time which contribute to the calibration drift. Like you said, this doesn’t happen in trials so I think it would be less of an issue