Postdoctoral Research Fellow in Statistics | PhD | MRC-NIHR awardee in Causal Inference methods @LSHTM (@icon_lshtm)
Joined November 2019
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Matthew J. Smith retweeted
🚨 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)
Matthew J. Smith retweeted
New #SystematicReview available in @AnnalsOfEpi - by @MJTSmith, @rachaelvp, @WATZILEI & @camaringe 👏
The team investigated the application of #TMLE in public health and epidemiological studies👇
sciencedirect.com/science/ar…
Matthew J. Smith retweeted
G-formula for causal inference via multiple imputation thestatsgeek.com/2023/01/31/…
Matthew J. Smith retweeted
📢 New publication by @icon_lshtm researchers highlights importance of diagnostic route in survival of people with #lymphoma and comorbidities.
➡️mdpi.com/1889940
Further research is vital to ensure timely diagnoses to reduce the #inequalities in #cancer survival.
Matthew J. Smith retweeted
Save the dates! EuroCIM 2023 will take place in Oslo, April 19-21 (with short courses April 18). Keep an eye on eurocim.org for more information.
Matthew J. Smith retweeted
Coming soon...
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Matthew J. Smith retweeted
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!
Matthew J. Smith retweeted
Living with or caring for someone with #cancer can feel overwhelming. But connecting with others to share experiences and tell our stories can help to find meaning and purpose, to understand others and ourselves. Join us in July to listen and be heard: bit.ly/CancerAndMe
Matthew J. Smith retweeted
Slides from a talk on 'Hypothetical estimands in clinical trials – a unification of causal inference and missing data methods' at the Danish Society for Biopharmaceutical Statistics #estimands #hypothetical thestatsgeek.com/wp-content/…
Matthew J. Smith retweeted
We're excited to announce that next up in our @LSHTM_CGCC & @icon_lshtm seminar series on inequalities in cancer outcomes is @epi_nina - presenting her work on socio-economic inequalities in survival from colon cancer:
🗓️Weds 18th May @ 12:45 (GMT+)
icon.lshtm.ac.uk/events/asse…
Matthew J. Smith retweeted
Come and join us! We have a new research fellow position available in our warm and friendly team @UniofYork. If you are interested in #epidemiology and #statistics or #cancer we would love to hear from you
bit.ly/3vIZGMi
#haematology
Matthew J. Smith retweeted
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 Matthew J. Smith retweeted
Now available online at the journal's website:
"A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology"
doi.org/10.1111/rssc.12566
I am glad our paper with A Eletti, G Marra, M Quaresma, R Radice
"A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology"
has been accepted for publication in JRSS-C.
drive.google.com/file/d/1cCE…
#rstats #epitwitter @stats_UCL @icon_lshtm
Matthew J. Smith retweeted
Celebrating all the wonderful women who work in cancer epidemiology @ECSG_UoY
#WomeninScienceDay
Matthew J. Smith retweeted
Hey talented young statisticians out there ! Fancy contributing to methodological developments and applications to tackle inequalities in cancer outcomes? For our CRUK programme, we are currently recruiting stats folks in our group @icon_lshtm, see jobs.lshtm.ac.uk/vacancy.asp…
Matthew J. Smith retweeted
To mark World Cancer Day on 4th Feb, Prof. Bernard Rachet will present:
Persistent inequalities in cancer care and cancer outcomes: What are we doing wrong?
Hosted by @icon_lshtm
@epi_twit @statstwitbot
Make a diary entry and join here 👇bit.ly/3ukTnyj
Matthew J. Smith retweeted
Don't miss out on this seminar where @ghazalehdashti will be talking about her work on methods for handling missing data in the context of TMLE!
Also, pre-print 👉 arxiv.org/abs/2112.05274
#epitwitter #statstwitter
Wed 16th Feb 9.30 UK time
LSHTM&CSM
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation by Dr Ghazaleh Dashti from the Clinical Epidemiology and Biostatistics Unit at the University of Melbourne, Australia.
lshtm.ac.uk/newsevents/event…
Matthew J. Smith retweeted
To mark #WorldCancerDay next week, and to launch our new seminar series on Inequalities in Cancer Outcomes we are happy to share details of a webinar on Friday 4th Feb, free and open to all, please join us and @LSHTM_CGCC bit.ly/ICON_seminar
Matthew J. Smith retweeted
Exciting opportunity: work with me, @ildiazm, @BBischl, Helen McIlleron and Paolo Denti on continuous interventions with applications in pharmacoepidemiology, funded by @dfg_public. A PhD and Post-Doc position in causal inference are available in Munich: statistik.uni-muenchen.de/st…
Matthew J. Smith retweeted
🤔Not sure what to do over the holidays, looking for a new opportunity in 2022? Why not join our team? 🤗
We're looking for a full-time Research Fellow in Stats for a new @PanCanResearch study using #MachineLearning skills. Closing date 23 Jan - details: jobs.lshtm.ac.uk/vacancy.asp…