Professor of Biostatistics @UoL_Health_Sci @UoL_Biostats
Joined January 2014
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Mark Rutherford retweeted
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 jobs.le.ac.uk/vacancies/1132…
Mark Rutherford retweeted
Just finished my research visit at
@UoL_Biostats working on temporal validation of prognostic models for Chronic obstructive pulmonary disease (COPD) using CPRD data.
Thank you @sarahbooth321
and @MJRutherford9
for the warm welcome and valuable discussions!
I found out last week that I'll be promoted to Professor from August. A good chance to reflect and to thank colleagues/students past & present @UoL_Biostats, in the wider department @UoL_Health_Sci & university, and also collaborators across the UK/world. + thanks for the cake...
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Mark Rutherford retweeted
Cure Models for HTA: What You Need to Know
Should decision-makers be more willing to use cure models? How do they work? What can go wrong? What on earth are flexible parametric non-mixture cure models??!
Thanks to @MJRutherford9 for writing this with me.
link.springer.com/article/10…
Last chance to apply for this role... Closing date is tomorrow.
Come and join us at @UoL_Biostats as part of the NIHR Policy Research Unit on Cancer Awareness, Screening and Early Diagnosis. Extend and develop statistical approaches for monitoring early diagnosis and guiding interventions to deliver the best improvements. Post details below.
Mark Rutherford retweeted
@NIHRresearch Undergraduate Internships
📢We are currently advertising 3 Medical Statistics internships at @UoL_Biostats
📅Deadline for applications: 7th June
portal.unitemps.com/Search/J…
Please email us ([email protected]) if you have any questions
ALT NIHR Undergraduate Internship Eligibility: 2nd or 3rd year of undergraduate degree Dates: 8th July – 30th August (8 weeks) Salary: £16.10 per hour and up to £1000 towards travel and accommodation 3 week group project in RShiny 5 week individual project in either: Evidence synthesis (Janharpreet Singh) Type 2 diabetes systematic review (@SmithEllesha) Data visualisation (@sarahbooth321) Funding to attend the Young Statisticians’ Meeting We are holding a webinar about the internship scheme on Friday 31st May at 10am, please email [email protected] if you would like to attend https://portal.unitemps.com/Search/JobDetails/27471 Deadline: 7th June
Come and join us at @UoL_Biostats as part of the NIHR Policy Research Unit on Cancer Awareness, Screening and Early Diagnosis. Extend and develop statistical approaches for monitoring early diagnosis and guiding interventions to deliver the best improvements. Post details below.
JOBS | Research Associate to work on statistical approaches for monitoring early cancer detection with the view to improving cancer survival. FT or job share. Funded by NIHR for 3 years, Closes 6 June @MJRutherford9 @UoL_Biostats
jobs.le.ac.uk/vacancies/9971…
Mark Rutherford retweeted
JOBS | Research Associate to work on statistical approaches for monitoring early cancer detection with the view to improving cancer survival. FT or job share. Funded by NIHR for 3 years, Closes 6 June @MJRutherford9 @UoL_Biostats
jobs.le.ac.uk/vacancies/9971…
Mark Rutherford retweeted
Registration for YSM 2024 is now open! Early-bird tickets are available until 7th June. Visit our website to grab your ticket now: sites.google.com/view/youngs…
Applications are now open for this new course at @UoL_Biostats. A complementary course to our long-established MSc in Medical Statistics, with extra emphasis on key data science skills, whilst retaining the robustness offered by statistical thought processes.
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Mark Rutherford retweeted
Research by @NRLatimer and colleagues shows that forcing a marginal hazard ratio to 1 does not accurately assess mean survival difference under individual-level treatment effect waning. More at ow.ly/gHFY50QO0yc. #HEOR #HTA #harzardratio #ValueinHealth
Mark Rutherford retweeted
#StataBio24 presenter @betty_syriop from @ki_meb_biostat showed how to perform mediation analysis in the relative survival framework using the stpm3 and standsurv commands; she demonstrated the approach by exploring cancer survival differences across socioeconomic groups.
Mark Rutherford retweeted
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 shorturl.at/jrOZ6. Places will be confirmed by 31/01/24. @NIHRinvolvement
Mark Rutherford retweeted
We have the new Population Health Data Science programme which will be open for applications imminently - starting September 2024 🗓️
#FridayMotivation
Keep checking the website le.ac.uk/health-sciences
Mark Rutherford retweeted
*NEW PAPER*
"Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time"
led by @sarahbooth321
onlinelibrary.wiley.com/doi/…
Really enjoyed delivering this pre-conference workshop, and great engagement throughout the session. Was a fantastic conference overall. #ENCR2023IACR
#ENCR2023IACR #CancerRegistry
WORKSHOP 2: Population-based cancer survival metrics. Mark Rutherford.
Métrica de la supervivencia en Cáncer.
Mark Rutherford retweeted
📜Paper📜 in @BrainBehavior with @KRAbrams, @NRLatimer, @MichelaGuglieri, @MJRutherford9 and @Crowther_MJ.
Assessing the CPRD as a data resource for DMD (and other rare disease) natural history models:
✅ Mortality
❓ Intermediate events
doi.org/10.1002/brb3.3331
#rarediseases
Mark Rutherford retweeted
📜Paper📜on rare disease natural history models published by @Wiley_Stats in #StatisticsinMedicine with @Crowther_MJ, @MJRutherford9, @KRAbrams, @SuzanneCFreeman and @NRLatimer.
Read it here➡️
doi.org/10.1002/sim.9949
Important to account for study heterogeneity!
@UoL_Biostats
Mark Rutherford retweeted
🔍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.
arc-em.nihr.ac.uk/research/c…
@sarahbooth321 @JonnyBroomfield @MJRutherford9 @UoL_Biostats
