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UK Causal Inference Meeting | Understanding Society

www.understandingsociety.ac.uk

Register for the meeting. The meeting is sponsored by the ESRC Research Centre for Micro-Social Change and Understanding Society: The UK Longitudinal Household Study based at the Institute for Social & Economic Research. The meeting will include keynote addresses from Fabrizia Mealli ( University ...

Online Causal Inference Seminar | Data Science

datascience.stanford.edu

Discussant: Fabrizia Mealli (Universit y of Florence) Abstract : In many observational studies in social science and medical applications, subjects or individuals are connected, and one unit’s treatment and attributes may affect another unit’s treatment and outcome, violating the stable unit treatment value assumption (SUTVA) and resulting ...

Department of Statistics - Conference on Causal Inference in...

stat.columbia.edu

10:20 11:05 Fabrizia Mealli (University of Florence). 11:05 11:50 Stijn Vansteelandt (Ghent University). 11:50 14:00 Lunch break. 14:00 14:45 Daniel Almirall (University of Michigan). 14:45 15:30 Mark vander Laan (UC Berkeley). 15:30 15:50 Coffee break. 15:50 16:35 Miguel Hernan (Harvard University).

Counterfactuals and Causal Inference - Stephen L. Morgan, Christopher...

books.google.ca

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to...

[ v1] Identification and estimation of treatment ...

arxiv.org

Sep 20, · Authors: Laura Forastiere, Edoardo M. Airoldi, Fabrizia Mealli. Download PDF Abstract: Causal inference on a population of units connected through a network often presents technical challenges, including how to account for local interference, and how to deal with complex response functions. In the presence of local interference, for instance ...

[ ] From controlled to undisciplined data ...

arxiv.org

Dec 12, · Authors: Francesca Dominici, Falco J. Bargagli-Stoffi, Fabrizia Mealli Download PDF Abstract: This paper discusses the fundamental principles of causal inference - the area of statistics that estimates the effect of specific occurrences, treatments, interventions, and exposures on a given outcome from experimental and observational data.

[ ] Bayesian Inference for Sequential Treatments under...

arxiv.org

Title: Bayesian Inference for Sequential Treatments under Latent Sequential Ignorability. Authors: Alessandra Mattei, Federico Ricciardi, Fabrizia Mealli. ( Submitted on 25 Aug (v1), last revised 16 Jun (this version, v2)). Abstract: We focus on causal inference for longitudinal treatments, where units are assigned to ...

Causal Inference with Multivariate Outcomes: a Simulation Study |...

link.springer.com

Within the framework of the Rubin Causal Model, Principal Stratification is used to address post-treatment complications in randomized experiments, such as...

Exploiting Multivariate Outcomes in Bayesian Inference for Causal...

link.springer.com

A Bayesian approach to causal inference in the presence of noncompliance to assigned randomized treatment is considered. It exploits multivariate outcomes for...

CANSSI National Seminar Series – Fabrizia Mealli, Mar

www.canssi.ca

Mar 25, · Fabrizia Mealli is Professor of Statistics. Her research focuses on causal inference, program evaluation, estimation techniques, simulation methods, missing data, and Bayesian inference, with applications to the social and biomedical sciences.

CANSSI National Seminar Series: March speaker, Fabrizia Mealli

www.stat.ubc.ca

Fabrizia Mealli is the third speaker of the winter/spring season of the CANSSI National Seminar Series. This winter/spring, the theme of the series is causal inference. All speakers in the series will provide suggested read-ahead journal articles, as part of a journal club. Before this talk, have a look at Fabrizia’s suggested article.

Causal Inference in Clinical and Observational Trials | LS ...

lsacademy.com

Nov 15, · Fabrizia Mealli is Professor of Statistics. Her research focuses on causal inference, program evaluation, estimation techniques, simulation methods, missing data, and Bayesian inference, with applications to the social and biomedical sciences. She held visiting positions at Harvard University, UCLA, LISER Luxembourg.

‪Fabrizia Mealli‬ - ‪Google Scholar‬

scholar.google.co.uk

‪University of Florence‬ - ‪‪Cited by ‬‬ - ‪Statistics‬ - ‪Biostatistics‬ - ‪Causal Inference‬ - ‪Missing Data‬ - ‪Bayesian Inference‬

au:Mealli_F in:stat - SciRate Search

scirate.com

Causal inference on a population of units connected through a network often presents technical challenges, including how to deal with complex response functions, and how to account for interference. In the presence of local interference, for instance, potential outcomes of a unit depend on its treatment as well as on the ...

3rd BAYSM | Florence

web.mi.imati.cnr.it

Plenary speakers: Fabrizia Mealli, University of Florence, Dept. of Statistics Informatics Applications, Florence, Italy ▸ Causal inference: a Bayesian perspective ...

European Causal Inference Meeting

www.papercrowd.com

... Vanessa Didelez (University of Bremen), Michael Hudgens (University of North Carolina). On April 10, 4 workshops will be offered by Daniel Rhian (Cardiff University), Johannes Textor (Radboud University Medical Center), Fabrizia Mealli (University of Florence), Guido Imbens (Stanford Graduate School of Business).

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