https://interviewdb.com/causal-inference/2752/
How do you interpret the coefficients of dummy variables in the context of causal inference?...
This question tests the candidate's understanding of how to quantify the effect of categorical treatments or interventions in regression analysis.
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https://www.pauljferraro.com/homepage-blog/causal-inference-in-coupled-human-and-natural-systems
Causal Inference in Coupled Human and Natural Systems — Paul J. Ferraro
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https://deus-ex-machina-ism.com/en/considerations-for-causal-inference-and-strong-ai/
Considerations for causal Inference and strong AI | Chinoba
Oct 5, 2024 - Cause and effect cannot be derived from data alone‘The Book of Why: The New Science of Cause and Effect
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https://www.certara.com/publication/from-biological-mechanisms-to-causal-inference-quantitative-systems-pharmacology-and-causal-frameworks-in-drug-development/
QSP Meets Causal Inference in Drug Development | Certara
Sep 30, 2026 - New CPT tutorial co-authored by Certara's Piet van der Graaf shows how combining QSP and causal inference strengthens drug development decisions
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https://causal3900.github.io/problem-set-6.-difference-in-differences-synthetic-control.html
Problem Set 6. Difference in Differences + Synthetic Control | Causal Inference Course
Relevant material will be covered by Nov 13. Problem set is due Nov 25. To complete the problem set, download the .Rmd and submit the knitted PDF. The learning...
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https://datarekha.com/ml/causal-inference/
Causal inference for ML practitioners — Machine Learning — datarekha
Aug 29, 2026 - Learn when a model can predict an outcome and when a design or estimator is needed to answer what an intervention will change.
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https://www.pywhy.org/dowhy/v0.5/example_notebooks/tutorial-causalinference-machinelearning-using-dowhy-econml.html
Tutorial on Causal Inference and its Connections to Machine Learning (Using DoWhy+EconML) — DoWhy...
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https://umu.diva-portal.org/smash/record.jsf?faces-redirect=true&language=en&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A757008&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all
Causal inference and case-control studies with applications related to childhood diabetes
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https://tyedal.com/blog/posts/causal-inference-for-marketing.html
Causal inference for marketing | Tyedal
A light introduction to causal inference for marketing measurement: confounding, counterfactuals, and what has to be true before a number can be called causal.
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https://www.causalityengine.ai/resources/causal-inference-for-marketing-teams-non-technical-guide
Causal Inference for Marketing Teams: A Non-Technical Guide
Oct 6, 2026 - Causal inference answers one question: what would have happened without the ad. The counterfactual, selection, holdouts and intervals, in plain language
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https://mpra.ub.uni-muenchen.de/76295/
Causal Inference on Education Policies: A Survey of Empirical Studies Using PISA, TIMSS and PIRLS...
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https://causal3900.github.io/discussion-4.-exchangeability-and-class-project.html
Discussion 4. Exchangeability and Class Project | Causal Inference Course
STSCI/INFO/ILRST 3900: Causal Inference September 23, 2026 Exchangeability in DAGs Exchangeability requires statistical independence \(A\perp\!\!\!\perp Y^a\)...
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https://mdanderson.elsevierpure.com/en/publications/causal-inference-in-oncology-comparative-effectiveness-research-u/
Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are...
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https://careers.insidehighered.com/job/3509750/causal-inference-postdoctoral-researcher-center-for-causal-inference-university-of-pennsylvania/
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https://mcml.ai/events/2026-06-10-stat-colloquium/
MCML - Causal Inference on Outcomes Learned From Text
10.06.26, 4:15-5:45 pm: Jann Spiess from Stanford University
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https://gitlab.wigner.hu/explore/projects/topics/causal%20inference?archived=only&sort=created_asc
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https://watershed.lbl.gov/publications/detecting-dynamic-causal-inference-in-nonlinear-two-phase-fracture-flow/
Detecting dynamic causal inference in nonlinear two-phase fracture flow
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https://www.datakwery.com/coursera/causal-inference/
Causal Inference | Coursera | Data Science & AI Course | DataKwery
Learn Causal Inference - data science and AI course from Coursera. This course offers a rigorous mathematical survey of causal inference at the Master’s level.
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https://interviewdb.com/causal-inference/2711/
What role does the assumption of independence play in causal inference? Interview Question |...
This question is designed to assess the candidate’s understanding of the independence assumption, which is crucial in many causal inference methodologies to en…
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https://gitlab.wigner.hu/explore/projects/topics/causal%20inference?archived=only&language=1&sort=latest_activity_desc
causal inference · Topics · GitLab
GitLab Enterprise Edition
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https://www.nankodo.co.jp/g/g9780367609528/
Handbook of Matching & Weighting Adjustments for Causal Inference: 洋書/南江堂
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https://www.gsi.upm.es/es/investigacion?view=publication&task=show&id=636
Publicación - Design and Development of a Causal Inference Machine Learning System based on Textual...
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https://www.wiwi.uni-muenster.de/mep/en/course/362751
Advanced Topics in Causal Inference | Münster Center for Economic Policy
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https://www.stata.com/training/webinar_series/intro-to-treatment-effects/
Introduction to causal inference and treatment effects
Join us for this free one-hour webinar, and learn about the basic concepts of causal inference including counterfactuals and potential outcomes.
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https://shuyang.wordpress.ncsu.edu/2020/05/30/postdoctoral-fellowship-in-causal-inference-and-data-integration/
Postdoctoral Fellowship in Causal Inference and Data Integration – Shu Yang
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https://ctml.berkeley.edu/acic-2022-room-1
ACIC 2022: Room 1 | Center for Targeted Machine Learning and Causal Inference
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https://www.bips-institut.de/forschung/abteilungsuebergreifende-arbeitsgruppen/arbeitsgruppe-gepard-target-trials-for-causal-inference-gettcausal.html
Arbeitsgruppe GePaRD & Target Trials for Causal Inference (GeTTCausal) - Leibniz-Institut für...
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https://interviewdb.com/causal-inference/2584/
Explain the concept of 'counterfactuals' in causal inference. Interview Question | interviewDB
This question evaluates the candidate's understanding of counterfactual reasoning, which is crucial for analyzing what would have happened in the absence of a …
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https://www.amazon.science/publications/predicting-cellular-responses-with-variational-causal-inference-and-refined-relational-information
Predicting cellular responses with variational causal inference and refined relational information...
Predicting the responses of a cell under perturbations may bring important benefits to drug discovery and personalized therapeutics. In this work, we propose a...
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https://gitlab.ub.uni-giessen.de/explore/projects/topics/causal-inference?archived=only&language=1&sort=latest_activity_asc
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https://gitlab.wigner.hu/explore/projects/topics/causal%20inference?archived=only&language_name=C%2B%2B&sort=latest_activity_asc
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https://github.com/google/CausalImpact
GitHub - google/CausalImpact: An R package for causal inference in time series · GitHub
An R package for causal inference in time series. Contribute to google/CausalImpact development by creating an account on GitHub.
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https://wvanamsterdam.com/causal-data-science-summerschool/lectures/prep/math.html
Causal Inference and Causal Data Science Summerschool – Mathematics intro
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https://proceedings.mlr.press/v258/cortez-rodriguez25a.html
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network...
Apr 23, 2025 - Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network InterferenceMayleen Cortez-Rodriguez, Matthew Eichhorn, Ch...
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https://gitlab.wigner.hu/explore/projects/topics/causal%20inference?archived=only&language_name=HCL&sort=name_asc
causal inference · Topics · GitLab
GitLab Enterprise Edition
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https://arxiv.org/abs/2501.00755v4
[2501.00755v4] An AI-powered Bayesian generative modeling approach for causal inference in...
Abstract page for arXiv paper 2501.00755v4: An AI-powered Bayesian generative modeling approach for causal inference in observational studies
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https://www.cs.cit.tum.de/en/dss/teaching/summer-semester-2024/causal-inference-in-time-series/
Causal Inference in Time Series - Chair of Decision Science & Systems
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https://cordis.europa.eu/project/id/101103508/reporting/pl
Machine Learning Macroeconometric Methods for Dynamic Causal Inference | HORIZON | CORDIS | Komisja...
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https://statisticalhorizons.com/our-instructors/renato-polimanti/
Renato Polimanti | Causal Inference Methods | Statistical Horizons
Mar 24, 2026 - Renato Polimanti, Ph.D., teaches a live online course on Mendelian randomization, Genome-wide association studies, and causal inference.
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https://sci-info.org/annual-meeting/program/agenda/
Agenda – SOCIETY FOR CAUSAL INFERENCE
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Causal Inference Method Selector
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https://www.secoda.co/glossary/causal-inference
Causal Inference - Explanation & Examples | Secoda
Causal inference is a method used to identify the effects of interventions on outcomes, discerning causal relationships within a system. It contrasts with...
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https://avesis.metu.edu.tr/yayin/ca7095f7-e394-419b-8e2b-12b68599278d/directed-acyclic-graphs-for-causal-inference-of-the-impact-of-maternal-and-child-helminth-infections-on-child-growth
Directed acyclic graphs for causal inference of the impact of maternal and child helminth...
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https://www.expertedge.org/product/9781808345654
Causal Inference with Bayesian Networks - ExpertEdge
Build Bayesian Networks and Causal Inference Models with R and Python. Gain a practical understanding of Bayesian networks and causal inference to analyze…
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https://madoc.bib.uni-mannheim.de/35496/
Causal Inference in Educational Research : Approaches, Assumptions and Limitations - MADOC
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https://gitlab.wigner.hu/explore/projects/topics/causal%20inference?archived=only&language_name=Jupyter+Notebook&sort=latest_activity_asc
causal inference · Topics · GitLab
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https://samenright.substack.com/p/my-class-about-causal-inference
My Class About Causal Inference - Sam Enright's Newsletter
Feb 19, 2025 - Greetings from Taiwan!
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https://verifiability.org/event/verifiability-talk-43-using-causal-inference-techniques-to-test-computational-models/
Verifiability Talk 43: “Using Causal Inference Techniques to Test Computational Models” –...
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https://phlr.temple.edu/learn-legal-epidemiology/theory-methods-literature/rigorous-policy-measurement-causal-inference-challenges-opportunities
Rigorous Policy Measurement: Causal inference challenges and opportunities | Center for Public...
This article in American Journal of Epidemiology describes the field of legal epidemiology for epidemiologists, with a focus on challenges in measuring policy...
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https://gitlab.wigner.hu/explore/projects/topics/causal%20inference?language_name=HCL&sort=created_desc
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https://ctml.berkeley.edu/publications/causal-inference-when-counterfactuals-depend-proportion-all-subjects-exposed
Causal inference when counterfactuals depend on the proportion of all subjects exposed | Center for...
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Chapter 45 Machine Learning for Causal Inference | A Guide on Data Analysis
Causal inference from observational data requires us to adjust for confounding variables that jointly influence the treatment and the outcome. The classical...
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https://aitrendblend.com/experiment-design-for-causal-inference-effect/
Optimal Experiment Design for Causal INFERENCE Effect Identification - AI Trend Blend
Aug 9, 2026 - Researchers from EPFL and TUM prove that designing minimum-cost interventions for causal inference effect identification is NP-complete, and propose exact,...
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https://portal.mardi4nfdi.de/wiki/Publication:1848926
Causal inference for complex longitudinal data: the continuous case. - MaRDI portal
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https://datafield.dev/advanced-data-science/part-03/intro.html
Part III: Causal Inference | Advanced Data Science | DataField.Dev
May 28, 2026 - An introduction for Part 3 — A hospital builds a model that accurately predicts which patients will be readmitted within 30 days. The model is deployed to...
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https://research.facebook.com/publications/robust-identifiability-in-linear-structural-equation-models-of-causal-inference/
Robust Identifiability in Linear Structural Equation Models of Causal Inference - Meta Research
In this work, we show that for any “bow-free model”, in all but 1÷poly(n) - measure of instances robust identifiability holds. Moreover, whenever an instance...
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https://ycaa.yale.edu/event/inference-project-talk-no-cause-concern-indefinite-causal-ordering-tool-understanding-192
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