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Martin N. Danka

@martindanka.bsky.social
73 followers 99 following 10 posts

PhD candidate in Biosocial Research at UCL. Research interests include causal inference and psychobiology. Funded by the ESRC & BBSRC. 🏳️‍🌈

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Reposted by Martin N. Danka
George Ploubidis @georgeploubidis.bsky.social · 22/05/2026
Landmark systematic review of the British birth cohorts, providing further evidence of Generational Health Drift. Led by the fantastic Laura Gimeno with superstar team: @dmorenoagostino.bsky.social @martindanka.bsky.social @yiling1015.bsky.social Alice Goisis & @drjenndowd.bsky.social
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Martin N. Danka @martindanka.bsky.social · 27/03/2026
Our preprint is now out! 📄 We looked at whether five flexible IPTW / propensity score weighting approaches can be used for count exposures, and whether they can be combined with multiple imputation. We also illustrate the methods using BCS70 data. Link: doi.org/10.48550/arXiv.2603.23726
doi.org
Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
Inverse probability of treatment weighting (IPTW) is widely used to estimate causal effects, but guidance is limited for count exposures. It is also unclear how IPTW performs when combined with multip...
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Martin N. Danka @martindanka.bsky.social · 04/02/2026
Such a useful update for day-to-day data cleaning. Very excited to finally have look up tables in the tidyverse!
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Martin N. Danka @martindanka.bsky.social · 15/10/2025
If you use survey data collected through mixed modes (f2f, telephone, online), check out this @royalstatsoc.bsky.social event with @rjsilverwood.bsky.social @georgiatomova.bsky.social and others.
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Reposted by Martin N. Danka
Peter Tennant @pwgtennant.bsky.social · 09/10/2025
What percentage of the health research funding pot do you think goes on methods and meta science? Around 2% (if you add together all mention of research design and methodologies across all areas from research.hscni.net/sites/defaul...) Just 2% spent on the part that underpins EVERYTHING we do.
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Reposted by Martin N. Danka
Davis Vaughan @davisvaughan.bsky.social · 04/08/2025
We are looking for some community feedback on 3 new dplyr functions! - replace_when() - recode_values() - replace_values() New tools for recoding (think, lookup tables!) and replacing (think, replace `-99` with `NA` in `col`) in the tidyverse - I'm pretty excited about these!
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Reposted by Martin N. Danka
Darío Moreno-Agostino @dmorenoagostino.bsky.social · 18/06/2025
📢 Job opportunity! 📢 I am recruiting a 2-year postdoc to join me at @clscohorts.bsky.social to work on a SUPER exciting project on the quantitative study of intersectional inequalities in youth mental health across time and place! See www.ucl.ac.uk/work-at-ucl/... for more info and how to apply!
ucl.ac.uk
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
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Martin N. Danka @martindanka.bsky.social · 17/06/2025
Excited (and a little nervous!) to be giving a talk on 30 June at the Turing’s CIIG seminar series. If you're interested in IPTW/propensity score methods, or in seeing some cat photos 🐾 (with the former obviously being more likely!), everyone’s welcome to join.
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Reposted by Martin N. Danka
Julia M. Rohrer @dingdingpeng.the100.ci · 16/04/2025
Midwit meme
left panel: causal claims based on often untestable assumptions
middle panel: nooo you cannot make claims like that our study merely shows that X predicts Y above and beyond Z future experimental studies are needed to 
what even is a cause 
according to hume
right panel: causal claims based on often untestable assumptions
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Reposted by Martin N. Danka
UCL Centre for Longitudinal Studies @clscohorts.bsky.social · 13/03/2025
✨ Have you booked yet? Join us for our free webinar NEXT WEEK introducing 1970 British Cohort Study data at age 51. Discover more about the experiences of generation X in midlife: cls.ucl.ac.uk/events/bcs70... #BSC70 #ageing
BCS70 at age 51 webinar data and photo of man and woman walking in the hills
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Martin N. Danka @martindanka.bsky.social · 19/02/2025
Just came across this gem on survey designs and survey weights with R. Free online version available.
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Reposted by Martin N. Danka
Katie Sarah Taylor @katie-taylor.bsky.social · 20/01/2025
1/2 Thrilled my 1st PhD study on how adolescent social connections influence BMI trajectories has been published🎉 Huge thanks to my coauthors @yvonne-kelly.bsky.social @tattanbirch.bsky.social @martindanka.bsky.social, Liam Wright, Daisy Fancourt, Ellie Iob 🤝 www.sciencedirect.com/science/arti...
sciencedirect.com
Social connections with family and friends in adolescence: Shaping body mass index trajectories into adulthood
To investigate whether adolescent social connections influence body mass index (BMI) trajectories into adulthood and explore whether associations are …
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Reposted by Martin N. Danka
Vincent Arel-Bundock @vincentab.bsky.social · 02/12/2024
Our JSS article is out! And now I get to focus on {marginaleffects} 1.0.0. Stay tuned. www.jstatsoft.org/article/view...
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Martin N. Danka @martindanka.bsky.social · 10/11/2024
Excited to see a new causally-informed epi textbook 🎉
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Martin N. Danka @martindanka.bsky.social · 08/11/2024
Also had the chance to give a peer workshop on causal inference. It was rewarding to see how much clarity the frameworks bring to diverse areas and to learn from the discussions. The takeaway is that causal inference is less intimidating when seen as a way asking clear questions. #causalinference
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Martin N. Danka @martindanka.bsky.social · 08/11/2024
It was wonderful to finally meet one of my causal inference heroes @pwgtennant.bsky.social in person at our Soc-B PhD workshop. A brilliant and inspiring talk.
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