@camaringe

Statistician and cancer epidemiologist part of the Inequalities in Cancer Outcomes Network @icon_lshtm at the London School of Hygiene and Tropical Medicine

 London
Joined May 2020
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  • Following87
  • Followers121
6Media
This work is also seminal in using observational data to study the effect of correcting inequalities in access to treatment - do read on!
Inequalities in Cancer Outcomes Network@icon_lshtmFeb 3
Ahead of #WorldCancerDay, research funded by @CR_UK led by @camaringe, Dr Manuela Quaresma @LSHTM shows that keyhole surgery for colon cancer is not reaching those who could benefit most. Read more 👉 bit.ly/4tfn4N5
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Camille Maringe retweeted
ethna@ethna727 Feb 2024
A really important concept here - the intersectionality in inequity - a close relation to the nursing perspective of personalised assessments… data must reflect the multiplicity of care & outcome analysis #CRUKDataConf24
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As part of #WorldCancerDay, ICON and @LSHTM_CGCC will be hosting a hybrid film screening and Q&A on Thursday 8 February. The film reveals how involving communities in research is the first step in helping us #CloseTheCareGap. More details to follow! 🔗bit.ly/3Sm412a
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Camille Maringe retweeted
Matthew J. Smith@MJTSmith23 Jun 2023
🚨 New #SystematicReview in @AnnalsOfEpi with @rachaelvp, @watzilei, @camaringe 🎉 How has Targeted Maximum Likelihood Estimation (#TMLE) been applied in public health and epidemiological studies?👉 bit.ly/3NmbVWM TL;DR #Thread 🧵 (@UKRI_News @The_MRC @NIHRresearch)
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Sun setting on 2 days organised by the @royalsociety, joining the #PairingScheme23: listened to top-notch speakers on policy & science & media, how parliament and government work & role of the Government Office for Science! Met inspiring scientists and civil servants!
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Camille Maringe retweeted
Rod Zepeda@RodZepeda4 Jul 2022
You want to know more about the connection between the #influencefunction and the #Deltamethod ? Check out our #preprint we made with @camaringe @MJTSmith @aurelien_belot @mf_schomaker @icon_lshtm @mirschnitzer @watzilei All comments are welcome!
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Camille Maringe retweeted
Matthew J. Smith@MJTSmith3 May 2022
If you’ve considered using Targeted Maximum Likelihood Estimation in the past for an observational study and decided not to use it, what was the main reason for not using it? @epi_twit @statstwitbot @CausalInferBot #epitwitter #statstwitter #causalinference #TMLE
59%Didn’t understand TMLE
29%Needed extension of TMLE
0%No suitable reviewer
12%Other (please comment)
17 votes • Final results
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Expending the conversation on Immortal-Time bias! Thanks @SPilleron
Dr. Sophie Pilleron@SPilleron14 Mar 2022
👋🏻 Self-promotion here 😀 Just posted on @medrxivpreprint our last paper on #ImmortalTimeBias in older vs younger age groups Amazing work with @LeyClem, @camaringe and @EJAMorris Ready for your comments 👇🏻👇🏻👇🏻 medrxiv.org/content/10.1101/…

Immortal time bias in older vs younger age groups: a simulation study with application to a...

Background In observational studies, the risk of immortal time bias (ITB) increases with the likelihood of early death, itself increasing with age. We investigated how age impacts the magnitude of...

medrxiv.org
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Further evidence of the impact of covid-19 on cancer patients. Happy to have contributed to this research and see wider application of our survival models using population-based cancer registrations! Thanks @AggarwalOnc, @icon_lshtm!
Ajay Aggarwal@AggarwalOnc26 May 2021
Our results demonstrate the sobering human and economic impacts of cancer diagnostic delay during the pandemic. Resolving this doesn’t require a sticking plaster but a strategic health systems approach to managing and coordinating complex cancer care. Paper 👇
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👋🏻 Our new paper #openaccess is out in @JGeriOnc with @DiSarfati @EJAMorris @camaringe J. Atkinson and H. Charvat! The impact of timely #cancer diagnosis on age disparities in #ColonCancer survival geriatriconcology.net/articl… #GeriOnc @siognah @SIOGorg @YoungSIOG
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Be quick! Starting now is a live webinar by Prof Julian Peto and Dr Clare Gilham on “Breast cancer risk is reduced by early cohabitation but not by young age at first birth” - free and open to all lshtm.zoom.us/j/98328560375 organised by @LSHTM_CGCC (note the session is recorded)
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We are recruiting! 👋 Are you an epidemiologist with strong quantitative skills, experienced and interested in improving #cancer outcomes? Come join our @CR_UK funded research programme! Read more and apply at: jobs.lshtm.ac.uk/vacancy.asp…

Jobs at LSHTM

jobs.lshtm.ac.uk
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Check this out! And do send comments before we submit in January! Hopefully of use to many!
Matthew J. Smith@MJTSmith22 Dec 2020
New Paper! arxiv.org/abs/2012.09920 Tutorial: Introduction to computational causal inference using reproducible Stata, R and Python code @WATZILEI @camaringe @PausalZ @CausalInferBot @epi_twit @statstwitbot #epitwitter #tmle #stats #causalinference
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Measurements of deprivation are very important for research on health #inequalities, but do area-level scores and personal deprivation experienced by those living in the area match up? Find out in @DrFionaIngleby @aurelien_belot @BMJ_Open published today: bmjopen.bmj.com/content/10/1…

Assessment of the concordance between individual-level and area-level measures of socio-economic...

Objectives Most research on health inequalities uses aggregated deprivation scores assigned to the small area where the patient lives; however, the concordance between aggregate area-level deprivat...

bmjopen.bmj.com
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Are you a #cancer patient or carer who wants to get involved in #cancerresearch? Join us on Thursday at our free #NCRIVirtual webinar to hear how you can make a difference! bit.ly/3epPM80 @AnthonyNolan @PennyBrohnUK @BreastCancer_UK @Roy_Castle_Lung @bowelcanceruk
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Further evidence that #Cancer shouldn't be forgotten in 2020! Timely access to treatment is paramount!
Ajay Aggarwal@AggarwalOnc5 Nov 2020
We estimate for each 4 week delay in cancer treatment around a 10% increase in the risk of death. Meta-analysis of 7 cancers. We must continue cancer treatments during the 2nd #COVID19 wave or face a significant rise in avoidable cancer deaths. bmj.com/content/371/bmj.m408…
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Really looking forward to this closing session of the #NCRIVirtual. Prof. Sir Mike Richards always has pearls of wisdom to share!
NCRI Partnership@NCRI_partners3 Nov 2020
The #NCRIVirtual Showcase closing session starts in 5 mins: 'In conversation with… Mike Richards'. One not to miss! 👨‍🏫
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Cancer is STILL not going away and neither is COVID-19. As cases unfortunately continue to rise, it is important that we take a proactive, balanced approach to promote safe, timely evaluation of cancer symptoms. doi.org/10.1111/ecc.13290
Larissa Nekhlyudov@DrN_CancerPCP7 Jul 2020
Cancer has not gone away: A primary care perspective to support a balanced approach for timely cancer diagnosis during COVID‐19 onlinelibrary.wiley.com/doi/… @CaPRINetwork @CCampbellEdin @dweller12 @fmw22 @Gregrubin4 @richarddneal @ProfJonEmery @PVedsted
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Camille Maringe retweeted
Frank Harrell
@f2harrell12 Oct 2020
Outstanding new tutorial on survival analysis: onlinelibrary.wiley.com/doi/… (just wish it weren't paywalled) #rmscourse

Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models

This paper provides guidance for researchers with some mathematical background on the conduct of time-to-event analysis in observational studies based on intensity (hazard) models. Discussions of...

onlinelibrary.wiley.com
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I can only recommend working with @AggarwalOnc ! Do consider applying!
Ajay Aggarwal@AggarwalOnc7 Oct 2020
We are recruiting for a research fellow/assistant in data science @LSHTM to support a 4 year NIHR funded research programme which aims to use #BigData to understand how we should design NHS radiotherapy and surgical cancer services. JD link below jobs.lshtm.ac.uk/Vacancy.asp…

Jobs at LSHTM

jobs.lshtm.ac.uk
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