Articles with public access mandates - Fabrizia MealliLearn more
Not available anywhere: 2
Likelihood-based analysis of causal effects of job-training programs using principal stratification
JL Zhang, DB Rubin, F Mealli
Journal of the American Statistical Association 104 (485), 166-176, 2009
Mandates: US National Institutes of Health
Design and analysis of experiments
A Mattei, F Mealli, A Nodehi
Handbook of Labor, Human Resources and Population Economics, 1-41, 2022
Mandates: Government of Italy
Available somewhere: 25
Identification and estimation of treatment and interference effects in observational studies on networks
L Forastiere, EM Airoldi, F Mealli
Journal of the American Statistical Association 116 (534), 901-918, 2021
Mandates: US National Science Foundation, US Department of Defense
Evaluating the effect of training on wages in the presence of noncompliance, nonemployment, and missing outcome data
P Frumento, F Mealli, B Pacini, DB Rubin
Journal of the American Statistical Association 107 (498), 450-466, 2012
Mandates: US National Institutes of Health
Causal inference with interfering units for cluster and population level treatment allocation programs
G Papadogeorgou, F Mealli, CM Zigler
Biometrics 75 (3), 778-787, 2019
Mandates: US National Institutes of Health
Identification and estimation of causal mechanisms in clustered encouragement designs: disentangling bed nets using Bayesian principal stratification
L Forastiere, F Mealli, TJ VanderWeele
Journal of the American Statistical Association 111 (514), 510-525, 2016
Mandates: US National Institutes of Health, Government of Italy
Principal score methods: Assumptions, extensions, and practical considerations
A Feller, F Mealli, L Miratrix
Journal of Educational and Behavioral Statistics 42 (6), 726-758, 2017
Mandates: US Institute of Education Sciences
Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program
A Mattei, F Li, F Mealli
Mandates: Government of Italy
Bayesian causal inference: a critical review
F Li, P Ding, F Mealli
Philosophical Transactions of the Royal Society A 381 (2247), 20220153, 2023
Mandates: US National Science Foundation
Assessing the short term impact of air pollution on mortality: a matching approach
M Baccini, A Mattei, F Mealli, PA Bertazzi, M Carugno
Environmental Health 16, 1-12, 2017
Mandates: Government of Italy
Estimating population average causal effects in the presence of non-overlap: The effect of natural gas compressor station exposure on cancer mortality
RC Nethery, F Mealli, F Dominici
The annals of applied statistics 13 (2), 1242, 2019
Mandates: US National Institutes of Health
Regression discontinuity designs as local randomized experiments
A Mattei, F Mealli
Observational Studies 3 (2), 156-173, 2017
Mandates: Government of Italy
PM2. 5 and hospital admissions among Medicare enrollees with chronic debilitating brain disorders
M Yitshak-Sade, R Nethery, JD Schwartz, F Mealli, F Dominici, Q Di, ...
Science of The Total Environment 755, 142524, 2021
Mandates: US National Institutes of Health
From controlled to undisciplined data: Estimating causal effects in the era of data science using a potential outcome framework
F Dominici, FJB Stoffi, F Mealli
PubPub 3 (3), 2021
Mandates: US National Institutes of Health
Identification of principal causal effects using additional outcomes in concentration graphs
F Mealli, B Pacini, E Stanghellini
Journal of Educational and Behavioral Statistics 41 (5), 463-480, 2016
Mandates: Government of Italy
Bayesian inference for sequential treatments under latent sequential ignorability
F Ricciardi, A Mattei, F Mealli
Journal of the American Statistical Association 115 (531), 1498-1517, 2020
Mandates: Government of Italy
Bayesian inference for causal mechanisms with application to a randomized study for postoperative pain control
M Baccini, A Mattei, F Mealli
Biostatistics 18 (4), 605-617, 2017
Mandates: Government of Italy
Estimating causal effects under network interference with bayesian generalized propensity scores
L Forastiere, F Mealli, A Wu, EM Airoldi
Journal of Machine Learning Research 23 (289), 1-61, 2022
Mandates: US National Science Foundation, US Department of Defense
Evaluation of the health impacts of the 1990 clean air act amendments using causal inference and machine learning
RC Nethery, F Mealli, JD Sacks, F Dominici
Journal of the American Statistical Association 116 (535), 1128-1139, 2021
Mandates: US National Institutes of Health
Exploring encouragement, treatment, and spillover effects using principal stratification, with application to a field experiment on teens’ museum attendance
L Forastiere, P Lattarulo, M Mariani, F Mealli, L Razzolini
Journal of Business & Economic Statistics 39 (1), 244-258, 2021
Mandates: Government of Italy
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