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Posts by Mahtab

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First We Grieve Then we must act.

After tragedies like those this weekend, particularly when the horror of gun violence hits so close to home:

First, we grieve. Then, turn to facts. Then, with understanding rather than anger or fear, we must act - with community and heart at the center. πŸ’œ

www.theatlantic.com/ideas/2025/1...

4 months ago 74 21 4 4

Currently in psych block. Today we got introduced to CBT( cognitive behavior therapy). CBT is like mapping out the causal decision tree. The therapist guides the pt to think about all the counterfactual outcomes. I guess studying causal inference is also good for your mental health.

8 months ago 1 0 0 0

Neurology is like discrete math. Logical proofs following if else statement can yield the location of the stroke from symptoms. Solving neuro cases is like modeling hierarchical models. There are multiple layers in the neuro system (e.g temporal sequence, distribution, upper vs lower motor neurons)

9 months ago 0 0 0 0
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github.com/kylebutts/vs...
If you are using vscode and stata, you should try out my extension. It uses interactive window which let's you write in a `.do` file but get a notebook type experience.

10 months ago 48 16 1 0

Survival analysis? More like Hope-I-Survive-This-Analysis

10 months ago 38 4 1 0

Our two papers on abortion bans and fertility/infant mortality are now out.

In 14 states w/ abortion bans, fertility increased 1.7% and infant mortality increased 6%.

Key takeaway is that these impacts were disproportionately felt among those w/ greatest structural disadvantages.

Links below.

1 year ago 389 224 9 8

While working on these studies, this was the finding that I couldn't stop thinking about.

Reproductive justice folks warned us about this.

1 year ago 16 5 2 0
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Available for free in O&G Open: Substance Use Disorder as a Contributing Factor to Pregnancy-Associated Deaths (ow.ly/kSjt50Vu9lB)

1 year ago 0 1 0 0
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🌍 #WorldHealthDay 2025 focuses on maternal & newborn health.
πŸ«€ New study: Socioeconomic disadvantage is linked to worse maternal CV health in early pregnancy (Life’s Essential 8).
πŸ”— ow.ly/zjHN50Vw4nq
#MaternalHealth #HealthEquity #LifeEssential8 #Cardiology #CardioSky #MedSky @aspcardio.bsky.social

1 year ago 10 8 1 0
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A screenshot of Causal Inference in R: Causal Diagrams

A screenshot of Causal Inference in R: Causal Diagrams

A screenshot of a DAG from Causal Inference in R showing two open pathways in an analysis a scientist must account for to get the correct answer

A screenshot of a DAG from Causal Inference in R showing two open pathways in an analysis a scientist must account for to get the correct answer

A screenshot of a DAG from Causal Inference in R showing how to describe feedback loops in causal diagrams

A screenshot of a DAG from Causal Inference in R showing how to describe feedback loops in causal diagrams

We've made a major update to the causal diagrams chapter of Causal Inference in R! Check it out to learn about DAGs! I think there's a lot in this chapter that is undercovered in other sources. #rstats #causalinference @lucystats.bsky.social @travisgerke.bsky.social www.r-causal.org/chapters/05-...

2 years ago 103 40 4 2

This is so disheartening πŸ’”

1 year ago 0 0 0 0
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Bayesian Meta-Analysis with brms – R Works In our previous post, Examining Meta Analysis, we contrasted a frequentist version of a meta analysis conducted with R’s meta package with a Bayesian meta analysis done mostly in stan using therstan p...

Interested in Bayesian Meta-Analysis with the brms package?

Learn how to formulate complex Bayesian models without writing any stan code: rworks.dev/posts/bma-wi...

#RStats

1 year ago 10 3 0 0

This made my day :)))

1 year ago 1 0 0 0
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Git for Academics A lot of people have asked me in recent weeks how git works. Git is a version control system (VCS) that was originally designed only with software developers...

πŸ’»βœ¨ Git for Academics βœ¨πŸ’»

A quick & practical intro to Git for academic projects β€” covering just the essentials you need to work productively. Perfect for researchers new to version control!

πŸ”— Watch here: buff.ly/prh2Pip

More resources πŸ‘‰ buff.ly/tTCN5MD

#Git #Academia #RStats πŸš€

1 year ago 59 15 1 0
Public Health Insurance Coverage for Immigrants during Pregnancy, Childhood, and Adulthood: A Discussion of Relevant Policies and Evidence | Journal of Health Politics, Policy and Law | Duke Universit...

Excited to share this new publication in JHPPL, with Laura Wherry and Maria Steenland, on public health insurance coverage for immigrants in the U.S.!

Free link:
read.dukeupress.edu/jhppl/articl...

@jhppl.bsky.social
@laurawherryr.bsky.social

1 year ago 10 6 1 0
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Association of the affordable care act Medicaid expansions with postpartum contraceptive use and early postpartum pregnancy Before the Affordable Care Act (ACA), 55% of individuals giving birth with Medicaid lost insurance postpartum, potentially affecting their access to p…

Our findings suggest Medicaid expansions improved access to the full range of contraceptive methods, supporting reproductive autonomy and decision-making, especially for uninsured people. Link to the full paper:

1 year ago 3 1 1 0
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link πŸ“ˆπŸ€–
An AI-powered Bayesian generative modeling approach for causal inference in observational studies (Liu, Wong) Causal inference in observational studies with high-dimensional covariates presents significant challenges. We introduce CausalBGM, an AI-powered Bayesian generative modeling appr

1 year ago 1 1 0 1

For Maths fans, 2025 is a square.
45Β² = 45 x 45 = 2025
Also,
9Β² x 5Β² = 2025
40Β² + 20Β² + 5Β² = 2025
My favourite?
1Β³+2Β³+3Β³+4Β³+5Β³+6Β³+7Β³+8Β³+9Β³ = 2025
#Mathematics #teaching #education

1 year ago 24924 4710 920 459
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πŸŽ„Day 18 πŸŽ„

Having a rough day?

The {praise} package is there for you.

Go on, give praise() a whirl.... β™₯️

1 year ago 20 4 1 1

Anthony Sisti, Andrew Zullo, Roee Gutman
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
https://arxiv.org/abs/2410.04561

1 year ago 1 1 0 0

Are you excited about the elegant philosophy of Bayesian inference, but struggling to see how it can be applied beyond the idealized examples in introductory texts and tutorials? Over the past few months I’ve released a series of demonstrative analysis that might help. πŸ‘‡

1 year ago 50 11 2 1