Statistical Modeling, Causal Inference, and Social Science

Statistical Modeling, Causal Inference, and Social Science

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Academic statistics blog frequently addressing clinical trial design/causal inference and evidence appraisal.

SparseNUTS: Preconditioning Hierarchical Models in HMC with a Sparse “Laplace Approximation” At the Marginal Mode
NewsMar 12, 2026

SparseNUTS: Preconditioning Hierarchical Models in HMC with a Sparse “Laplace Approximation” At the Marginal Mode

Researchers led by Cole Monnahan released SparseNUTS, an R package that preconditions Hamiltonian Monte Carlo using a sparse Laplace approximation at the marginal mode of hierarchical models. By leveraging the sparse precision matrix from TMB or lme4, the method replaces...

By Statistical Modeling, Causal Inference, and Social Science
New Course on Generative AI for Behavioral Science
NewsMar 10, 2026

New Course on Generative AI for Behavioral Science

Northwestern University introduced a graduate seminar titled "Generative AI for Social Science," merging computer science and communications students to examine how large language models can simulate human behavior. The course surveys emerging applications, methodological challenges, and metascientific concerns, culminating in...

By Statistical Modeling, Causal Inference, and Social Science
“The Idea of Israel” . . . More Generally, The Idea of X, for Different Values of X
NewsMar 9, 2026

“The Idea of Israel” . . . More Generally, The Idea of X, for Different Values of X

Ilan Pappe’s 2014 book *The Idea of Israel* chronicles the 1990s “post‑Zionist” surge in Israeli academia, arts and media that challenged the dominant patriotic narrative. The book argues that this brief period of critical scholarship was later curbed by a...

By Statistical Modeling, Causal Inference, and Social Science
Bayesian Inferences and Frequentist Evaluations
NewsMar 7, 2026

Bayesian Inferences and Frequentist Evaluations

Researchers Forster, Novelli, and Welch applied four frequentist and two Bayesian sequential designs to the COVID‑disrupted UK DISC clinical trial. All six approaches confirmed the trial’s original finding of treatment superiority but suggested different optimal points for restarting patient recruitment....

By Statistical Modeling, Causal Inference, and Social Science
Ethics Corner:  “As a Statistical Consultant, if You’re a Co-Author on a Substantive Paper, Is It Your Duty to...
NewsMar 4, 2026

Ethics Corner: “As a Statistical Consultant, if You’re a Co-Author on a Substantive Paper, Is It Your Duty to...

Statistical consultants who become co‑authors must balance honesty with scope. They should fully disclose the analyses they performed and any limitations, but are not obligated to fix every statistical flaw beyond their contract. If a manuscript contains questionable methods, the...

By Statistical Modeling, Causal Inference, and Social Science
From Junk Science (Largely Non-Political) to Junk Medical Treatments (Mostly Associated with the Far-Right):  A Financial Connection
NewsFeb 20, 2026

From Junk Science (Largely Non-Political) to Junk Medical Treatments (Mostly Associated with the Far-Right): A Financial Connection

Paul Krugman highlights a growing financial link between the multi‑billion‑dollar wellness industry and right‑wing extremist movements. He notes that U.S. spending on wellness reaches roughly $500 billion annually, with nutritional supplements alone accounting for about $70 billion, while regulators like the FDA...

By Statistical Modeling, Causal Inference, and Social Science