Andrew Bell
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andrewjdbell.bsky.social
Andrew Bell
@andrewjdbell.bsky.social
1.2K followers 270 following 5 posts

Senior Lecturer in Quantitative Social Sciences, University of Sheffield. Multilevel models, age period cohort, Intersectionality, etc https://linktr.ee/andrewjdbell

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Public Health 19%
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Reposted by Ewan Carr, Patrick Präg

andrewjdbell.bsky.social
Andrew Bell @andrewjdbell.bsky.social · 19d
Pleased to see this out in print - detailing MAIHDA's desirable statistical properties.

"MAIHDA is especially valuable when inequalities are subtle or data for marginalised intersections are sparse - conditions common in practice"

journals.sagepub.com/doi/10.1177/...

@clarerevans.bsky.social
The Statistical Advantages of Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy for Estimating Intersectional Inequalities - George Leckie, Andrew Bell, Juan Merlo, SV Subram...
Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) is a multilevel regression approach grounded in intersectionality theory. I...
journals.sagepub.com

andrewjdbell.bsky.social
Andrew Bell @andrewjdbell.bsky.social · 26d
Want to know how to use MAIHDA to examine heterogeniety in policy outcomes? Here's a nice worked-through example!

How does intersectional identity impact preference for in-person vs online GP appoinments?

Has been great working with @healthfoundation.bsky.social colleagues on this :)
A caterpillar plot of slope variability in the effect of appointment type. Statistically significant differentials are coloured in blue, of which there are 4 positive and 8 negative. The figure is taken from the linked blog figure 5

Reposted by Martin Hyde, Johannes Haushofer, Magnus Johansson , and 2 more

dingdingpeng.the100.ci
Julia M. Rohrer @dingdingpeng.the100.ci · Jun 6
Now officially out with nice formatting and all 🥳 "Thinking clearly about age, period, and cohort effects" -- a gentle introduction to the age-period-cohort problem and how to "solve" it through various types of assumptions.

journals.sagepub.com/doi/10.1177/...

Reposted by Martin Hyde, Martin Kreidl, Andrew Bell , and 1 more

ncrm.ac.uk
National Centre for Research Methods @ncrm.ac.uk · Jun 5
NCRM has opened applications to participate in the Research Methods Rendezvous!

This free event will explore the process of turning early-stage ideas into #research projects.

#RMR2025 takes place online on 10 September and 29 October 2025.

Apply: www.ncrm.ac.uk/training/RMR...
A promotional graphic for the Research Methods Rendezvous, which takes place online on 10 September and 29 October 2025.

Reposted by Clare Bambra, Luke Munford, Andrew Bell

itvpeston.bsky.social
Peston @itvpeston.bsky.social · May 21
Join ITV’s Flagship Politics show

Tonight Robert Peston and Anushka Asthana will be joined by:

🌹 Gordon Brown
🇪🇺 Pedro Serrano
💼 Sir Charlie Mayfield
🏴󠁧󠁢󠁳󠁣󠁴󠁿 Stephen Flynn
🔵 Gillian Keegan

#Peston

youtube.com/live/_sOdZhH...
PESTON LIVE - 21/05/2025
YouTube video by Peston
youtube.com

Reposted by David G. Rand, Kai Sassenberg, Mark E. Schaffer , and 3 more

dingdingpeng.the100.ci
Julia M. Rohrer @dingdingpeng.the100.ci · May 11
Thanks to everybody who chimed in!

I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist.

So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>

Reposted by Richard Shaw, Andrew Bell, Eric J. Pedersen

dingdingpeng.the100.ci
Julia M. Rohrer @dingdingpeng.the100.ci · Apr 29
Another q for the stats people!
People worry about collinearity (cf blog post below).

Consider a scenario in which the collinear predictors are just controls to account for confounding.
Including both of them doesn't impair the precision with which the effect of interest is estimated, does it?
Jan Vanhove :: Blog - Collinearity isn’t a disease that needs curing
janhove.github.io

andrewjdbell.bsky.social
Andrew Bell @andrewjdbell.bsky.social · Apr 29
Still time to apply for this RA post- developing and applying the intersectional MAIHDA approach with @clarerevans.bsky.social and others. If you're a quantitative social scientist with an interest in quantitative methods and methods development, please apply! DMs open www.jobs.ac.uk/job/DMR190/r...

Reposted by Ewan Carr, Andrew Bell

essexsummerschool.bsky.social
Essex Summer School in Social Science Data Analysis @essexsummerschool.bsky.social · Apr 11
Multilevel Models: Practical Applications

Curious about multilevel modelling but not sure where to start?

Learn to recognise, build & interpret multilevel models using MLwiN or R, through real-world examples & hands-on practice.

Find out more: bit.ly/3Yj5I4f

#ESS2025

andrewjdbell.bsky.social
Andrew Bell @andrewjdbell.bsky.social · Mar 4
Come join George and I in Bristol, to learn about intersectional MAIHDA! bristol.ac.uk/cmm/software... @ncrm.ac.uk
Text reads: "An introduction to multilevel modelling for intersectionality research: the MAIHDA Approach. 19th June 2025. Instructors: Prof George Leckie and Dr Andrew Bell. There are logos for Centre for multilevel modelling, NCRM, University of Sheffield, and UKRI

Reposted by Andrew Bell

lborrell.bsky.social
Luisa N. Borrell @lborrell.bsky.social · Feb 13
A news release on the paper with C. Nieves & @clarerevans.bsky.social
@cuny.edu @cunysph.bsky.social
#Hispanic #PublicHealth #EpiSky #MAIHDA #SocialEpi

sph.cuny.edu/life-at-sph/...

andrewjdbell.bsky.social
Andrew Bell @andrewjdbell.bsky.social · Jan 30
George Leckie and I have created a new short MAIHDA tutorial, with videos and practical exercises:

www.ncrm.ac.uk/resources/on...

It's based on our tutorial paper in SSM Pop Health, but shorter and more interactive.

Hope it's helpful! @ncrm.ac.uk
NCRM resource | Multilevel models to study intersectionality by Andrew Bell and George Leckie
Multilevel models allow researchers to analyse data that has a clustered structure such as pupils nested within schools, or individuals within neighbourhoods. Recently, a version of multilevel models
www.ncrm.ac.uk

Reposted by Andrew Bell

mkellyirving.bsky.social
Michelle Kelly-Irving @mkellyirving.bsky.social · Dec 3
Starting out using #intersectional MAIHDA analyses, so need to dig into this great tutorial paper by @clarerevans.bsky.social , Leckie, Subramanian, @andrewjdbell.bsky.social Juan Merlo 👏

www.sciencedirect.com/science/arti...
A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA) is an innovative approach for investigating ineq…
www.sciencedirect.com

Reposted by Andrew Bell

tomecicuta.bsky.social
Marcos Fanton @tomecicuta.bsky.social · Nov 22
It’s my first project too! In fact, it’s also my first in epidemiology since I come from philosophy. :) I find stratified graphs based on social categories (like Hernández-Yumar, 2018) really interesting.

Reposted by Andrew Bell

sarg-scharr.bsky.social
SARG - SCHARR @sarg-scharr.bsky.social · Nov 19
New paper published in Social Science and Medicine 'An analysis of intersectional disparities in alcohol consumption in the US'. Led by @sophiebright.bsky.social, this study identifies several understudied groups who may have higher alcohol consumption than traditional methods would suggest.
An analysis of intersectional disparities in alcohol consumption in the US
Alcohol is one of the leading causes of preventable deaths in the United States (US). Prior research has demonstrated that alcohol consumption and rel…
www.sciencedirect.com

Reposted by Andrew Bell

dingdingpeng.the100.ci
Julia M. Rohrer @dingdingpeng.the100.ci · Sep 19
New preprint! osf.io/preprints/ps...
The age-period-cohort problem is something that many researchers are vaguely aware of. There have been very cool advances in how to reason about it which don't seem to be well-known in psych. So, I've written a primer!
Abstract Psychological researchers are interested in how things change over time and routinely make claims about, for example, age effects (e.g., personality changes with age) or cohort effects (e.g., differences in intelligence between cohorts). The age-period-cohort identification problem means that these claims are not possible based on the data alone: Any possible temporal pattern can be explained by an infinite number of combinations of age, period, and cohort effects. This concern holds regardless of the study design—it also applies to longitudinal designs covering multiple cohorts—and regardless of the number of observations available—it also applies if we observe the whole population. Researchers rely on statistical models that impose assumptions to pick one specific combination of effects. But these assumptions are often opaque and researchers may be unaware of them, resulting in a lack of scrutiny. Here,...

Reposted by Andrew Bell

dingdingpeng.the100.ci
Julia M. Rohrer @dingdingpeng.the100.ci · Jun 24
Rereading @andrewjdbell.bsky.social's 2020 paper on APC analysis & this is such a great example of how plots imply certain interpretations of the data.

Same underlying data but depending on how you connect the lines, the implied age effect looks completely different.