Camille Maringe

78 posts

Camille Maringe

@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 Katılım Mayıs 2020

88 Takip Edilen122 Takipçiler

Camille Maringe@camaringe·4 Şub

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_lshtm

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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ethna@ethna7·27 Şub

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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Inequalities in Cancer Outcomes Network@icon_lshtm·29 Oca

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

Inequalities in Cancer Outcomes Network tweet media

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Matthew J. Smith@MJTSmith·24 Haz

🚨 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)

GIF

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Camille Maringe@camaringe·12 May

@EBRheum @casualinfer @_MiguelHernan Oh thanks @EBRheum ! Always happy to hear it’s been useful somewhere to someone!

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Mike Putman@EBRheum·7 May

Wondering how to clone/censor/weight pts for causal inference & came across this incredible paper by @camaringe & co: #sup1" target="_blank" rel="nofollow noopener">ncbi.nlm.nih.gov/pmc/articles/P… 1. Concise & approachable 2. Beautiful code & sample data What a service to the world. Kudos & thanks! @casualinfer @_MiguelHernan

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Camille Maringe@camaringe·29 Mar

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@camaringe·6 Eyl

@SPilleron Congratulations Sophie! So excited and happy for you!

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Dr. Sophie Pilleron@SPilleron·6 Eyl

👋🏻 I think this is very very official, isn't? 😊 Dr Sophie Pilleron awarded FNR ATTRACT Fellowship | FNR – Luxembourg National Research Fund fnr.lu/dr-sophie-pill…

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Camille Maringe@camaringe·1 Eyl

@LundJenny @UNC_RxEPI @CharleyGaber Thanks Jenny for making it happen! Lovely to meet the dream team and be part of the lively discussion!

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Rod Zepeda@RodZepeda·4 Tem

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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Matthew J. Smith@MJTSmith·4 May

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

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Camille Maringe@camaringe·14 Mar

Expending the conversation on Immortal-Time bias! Thanks @SPilleron

Dr. Sophie Pilleron@SPilleron

👋🏻 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/10.110…

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Camille Maringe@camaringe·28 May

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@AggarwalOnc

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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Dr. Sophie Pilleron@SPilleron·15 Nis

👋🏻 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/article/S1879-… #GeriOnc @siognah @SIOGorg @YoungSIOG

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Inequalities in Cancer Outcomes Network@icon_lshtm·2 Mar

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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Inequalities in Cancer Outcomes Network@icon_lshtm·9 Şub

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.aspx?r…

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Camille Maringe@camaringe·22 Ara

Check this out! And do send comments before we submit in January! Hopefully of use to many!

Matthew J. Smith@MJTSmith

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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Camille Maringe retweetledi

Inequalities in Cancer Outcomes Network@icon_lshtm·26 Kas

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/10/11/…

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NCRI Partnership@NCRI_partners·9 Kas

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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Camille Maringe@camaringe·5 Kas

Further evidence that #Cancer shouldn't be forgotten in 2020! Timely access to treatment is paramount!

Ajay Aggarwal@AggarwalOnc

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/bm…

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Camille Maringe@camaringe·3 Kas

Really looking forward to this closing session of the #NCRIVirtual. Prof. Sir Mike Richards always has pearls of wisdom to share!

NCRI Partnership@NCRI_partners

The #NCRIVirtual Showcase closing session starts in 5 mins: 'In conversation with… Mike Richards'. One not to miss! 👨‍🏫

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Keşfet

@LSHTM_CGCC @AnnalsOfEpi @rachaelvp @WATZILEI @UKRI_News @The_MRC @NIHRresearch @EBRheum