Fabrizia Mealli
#150,425
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Italian statistician
Fabrizia Mealli's AcademicInfluence.com Rankings
Fabrizia Meallimathematics Degrees
Mathematics
#7731
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#10492
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Statistics
#965
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#1059
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Measure Theory
#3727
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#4393
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Mathematics
Fabrizia Mealli's Degrees
- PhD Statistics University of Florence
- Masters Statistics University of Florence
- Bachelors Statistics University of Florence
Why Is Fabrizia Mealli Influential?
(Suggest an Edit or Addition)According to Wikipedia, Fabrizia Mealli is an Italian statistician at the University of Florence, known for her research on causal inference, missing data, and the statistics of employment. In 2013 she was named a Fellow of the American Statistical Association.
Fabrizia Mealli's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and Their Sensitivity? (2006) (659)
- Household vulnerability and child labor: the effect of shocks, credit rationing, and insurance (2003) (234)
- The specification of the propensity score in multilevel observational studies (2011) (144)
- Temporary Work Agencies in Italy: A Springboard Toward Permanent Employment? (2005) (130)
- Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification (2009) (118)
- Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks (2016) (113)
- Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data (2012) (96)
- Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes. (2004) (85)
- Evaluating the effects of job training programs on wages through principal stratification (2008) (82)
- Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance (2013) (75)
- ‘Clarifying missing at random and related definitions, and implications when coupled with exchangeability’ (2015) (69)
- Occupational Pensions and Job Mobility in Britain: Estimation of a Random-Effects Competing Risks Model (1996) (64)
- A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference (2011) (64)
- Assumptions allowing the estimation of direct causal effects (2003) (62)
- Evaluating the effects of university grants by using regression discontinuity designs (2012) (61)
- Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination (2007) (51)
- Household Vulnerability and Child Labor: The Effect of Shocks, Credit Rationing and Insurance (2003) (46)
- Augmented designs to assess principal strata direct effects (2011) (44)
- Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program (2013) (43)
- Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification (2008) (43)
- Evaluating the Causal Effect of University Grants on Student Dropout: Evidence from a Regression Discontinuity Design Using Principal Stratification (2015) (40)
- Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification (2016) (40)
- Causal inference with interfering units for cluster and population level treatment allocation programs (2017) (39)
- A Refreshing Account of Principal Stratification (2012) (35)
- Principal Score Methods: Assumptions, Extensions, and Practical Considerations (2017) (35)
- Regression Discontinuity Designs as Local Randomized Experiments (2016) (32)
- Assessing the short term impact of air pollution on mortality: a matching approach (2017) (31)
- Poverty and Fertility in Less Developed Countries: A Comparative Analysis (2005) (31)
- Cross‐sectional and longitudinal evaluation of uterine artery Doppler velocimetry for the prediction of pre‐eclampsia in normotensive women with specific risk factors (2003) (30)
- Multiple Imputation by Ordered Monotone Blocks With Application to the Anthrax Vaccine Research Program (2014) (28)
- Assumptions when Analyzing Randomized Experiments with Noncompliance and Missing Outcomes (2002) (28)
- Training Duration and Post-training Outcomes: A Duration-Limited Competing Risks Model (1996) (27)
- Individual longitudinal patterns in biochemical and hematological markers for the early prediction of pre-eclampsia (2002) (25)
- Matching on Generalized Propensity Scores with Continuous Exposures (2018) (25)
- ESTIMATING POPULATION AVERAGE CAUSAL EFFECTS IN THE PRESENCE OF NON-OVERLAP: THE EFFECT OF NATURAL GAS COMPRESSOR STATION EXPOSURE ON CANCER MORTALITY. (2018) (23)
- Improving inference of Gaussian mixtures using auxiliary variables (2014) (21)
- Statistical Inference for Causal Effects (2011) (20)
- An Econometric Model of Farm Tenures in Fifteenth-Century Florence (1998) (19)
- Estimating binary multilevel models through indirect inference (1999) (18)
- Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks (2019) (16)
- Identification of Principal Causal Effects Using Additional Outcomes in Concentration Graphs (2016) (15)
- Modelling short unemployment in Europe (2000) (15)
- The Effects of R&D Subsidies to Small and Medium-Sized Enterprises. Evidence from a Regional Program (2018) (15)
- Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness (2008) (14)
- Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability (2016) (14)
- Bayesian inference for causal mechanisms with application to a randomized study for postoperative pain control (2017) (14)
- Identification of causal effects in the presence of nonignorable missing outcome values (2014) (13)
- Multiple Imputation in the Anthrax Vaccine Research Program (2010) (12)
- Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores (2018) (11)
- Using secondary outcomes and covariates to sharpen inference in randomized experiments with noncompliance (2012) (11)
- PM2.5 and hospital admissions among Medicare enrollees with chronic debilitating brain disorders. (2020) (11)
- Sensitivity of matching estimators to unconfoundedness . An application to the effect of temporary work on future employment (11)
- From Controlled to Undisciplined Data: Estimating Causal Effects in the Era of Data Science Using a Potential Outcome Framework (2020) (10)
- Bayesian inference for causal effects in randomized experiments with noncompliance: The role of multivariate outcomes (2012) (9)
- Bayesian causal inference: a critical review (2022) (8)
- Applying Heterogeneous Transition Models in Labour Economics: The Role of Youth Training in labour Market transitions. (1999) (8)
- Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples (2021) (8)
- Assessing causal effects in the presence of treatment switching through principal stratification (2020) (8)
- Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning (2020) (8)
- Autologous haematopoietic stem cell transplantation versus low‐dose immunosuppression in secondary–progressive multiple sclerosis (2022) (7)
- The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches (2016) (7)
- Causal Impact of the Hospital Readmissions Reduction Program on Hospital Readmissions and Mortality (2018) (7)
- Missing Data and Imputation Methods (2011) (7)
- Measuring the Vulnerability of Children in Developing Countries: An Application to Guatemala (2004) (6)
- Poverty and Fertility Dynamics: A Comparative Analysis (2006) (6)
- Discussion of “Estimation of Intervention Effects with Noncompliance: Alternative Model Specifications” by Booil Jo (2002) (6)
- The Local Randomization Framework for Regression Discontinuity Designs: A Review and Some Extensions. (2018) (6)
- Evaluating a SARS-CoV-2 screening strategy based on serological tests. (2020) (5)
- Posterior Predictive p-Values with Fisher Randomization Tests in Noncompliance Settings: Test Statistics vs Discrepancy Measures (2015) (5)
- Local Randomization and Beyond for Regression Discontinuity Designs: Revisiting a Causal Analysis of the Effects of University Grants on Dropout Rates (2018) (5)
- Bipartite Interference and Air Pollution Transport: Estimating Health Effects of Power Plant Interventions. (2020) (5)
- Exploiting instrumental variables in causal Inference with nonignorable outcome nonresponse using principal stratification (2008) (5)
- Simulation-based estimation of Tobit model with random effects (2001) (5)
- Exploiting multivariate outcomes in Bayesian inference for causal effects with noncompliance (2013) (5)
- Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance (2021) (4)
- Exploiting Multiple Outcomes in Bayesian Inference for Causal Effects with Intermediate Variables∗ (2013) (4)
- A conversation with Donald B. Rubin (2014) (4)
- Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates (2020) (4)
- Fertility and Poverty in less developed countries: a comparative analysis (2005) (4)
- Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach (2021) (3)
- University Studies and Employment. An Application of the Principal Strata Approach to Causal Analysis (2007) (3)
- Alternative Simulation-Based Estimators of Logit Models with Random Effects (2001) (3)
- Nonparametric specification of error terms in dynamic models (1996) (3)
- Principal Score Methods: Assumptions and Extensions (2016) (3)
- Causal Inference with Multivariate Outcomes: a Simulation Study (2011) (3)
- What kinds of R&D consortia enhance SMEs productivity? Evidence from a small-business innovation policy (2013) (2)
- What kinds of R&D consortia enhance SMEs productivity? A hierarchical Bayesian approach for the analysis of a regional innovation policy (2020) (2)
- Using secondary outcomes and covariates to sharpen inference in instrumental variable settings (2011) (2)
- Causal inference and machine learning approaches for evaluation of the health impacts of large-scale air quality regulations (2019) (2)
- Discussion of “On Bayesian Estimation of Marginal Structural Models” (2015) (2)
- Using Secondary Outcomes and Covariates to Sharpen Inference in Instrumental Variable. Presentato a 7th IZA Conference on Labor Market Policy Evaluation. Harvard University,Cambridge MA, USASettings (2011) (2)
- IMPACT EVALUATION OF UNIVERSITY GRANTS (2002) (2)
- Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs (2022) (1)
- Cash Limits and the Control of Public Expenditure in the United Kingdom (1998) (1)
- Combining counterfactual outcomes and ARIMA models for policy evaluation (2022) (1)
- Sensitivity analyses for the principal ignorability assumption using multiple imputation (2022) (1)
- [Analysis and future scenarios of the SARS-CoV-2 epidemic in Tuscany Region (Central Italy)]. (2020) (1)
- Finding alternative sources of identification in generalized selection models using principal stratification. Presentato a International Conference on Causal Inference, Uppsala. (2007) (1)
- Estimating Population Average Causal Effects in the Presence of Non-Overlap: A Bayesian Approach (2018) (1)
- Uncovering the impact of regulated Bitcoin futures on volatility and volume (2022) (1)
- Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance. (2020) (1)
- The effects of a dropout prevention program on secondary students’ outcomes (2015) (1)
- Estimating Causal Effects on Social Networks (2018) (1)
- Evaluating the Effects of Subsidies to Firms with Nonignorably Missing Outcomes (2011) (1)
- Causal Effects with Hidden Treatment Diffusion on Observed or Partially Observed Networks (2021) (1)
- Finding alternative sources of identification in generalized selection models using principal stratification1 (2007) (1)
- Estimation of Causal Effects in Latent Strata with an Encouragement for Response (2012) (1)
- Exploiting Instrumental Variables With Nonignorable Outcome Nonresponse (2008) (0)
- Living Standards and Fertility in Indonesia: A Bayesian Analysis (2009) (0)
- Assessment of the feasibility of pool testing for SARS-CoV-2 infection screening (2022) (0)
- The International Journal of Biostatistics A Refreshing Account of Principal Stratification (2012) (0)
- Bayesian Inference for Fuzzy Regression Discontinuity Designs (2013) (0)
- Preface to the papers on ‘Causal inference from non‐experimental studies: challenges, developments and applications’ (2020) (0)
- Estimating Causal Effects of Multi-Valued Treatments Accounting for Network Interference: Immigration Policies and Crime Rates (2023) (0)
- How Many Hospital admissions in Massachusetts Would Have Been Saved, Had the Particulate Air Pollution Level Been Lower? (2019) (0)
- Modelling variability of gene expression data (2005) (0)
- Identification of Local Causal Effects with Missing Outcome Values and an Instrument for Non Response (2014) (0)
- Lowering Air Pollution Levels in Massachusetts May Prevent Cardiovascular Hospital Admissions. (2020) (0)
- Evaluating federal policies using Bayesian time series models: estimating the causal impact of the hospital readmissions reduction program (2018) (0)
- Causal effect of regulated Bitcoin futures on volatility and volume (2021) (0)
- Review of the book \Causal Inference for Statistics, Social, and Biomedical Sciences" by G.W. Imbens and D.B. Rubin (2015) (0)
- Discussion of “Transparent parametrization of models for potential outcomes” by Richardson, Evans and Robins (2010) (0)
- NONPARAMETRIC SPECICATION OF ERROR TERMS IN DYNAMIC MODELS 1 (2008) (0)
- Mode choice analysis of mobility in Florence. A choice experiment (2013) (0)
- Identification of Principal Causal Effects Using Secondary Outcomes (2014) (0)
- Encouragement, experience and spillover effects in a field experiment on teens’ museum attendance (2017) (0)
- Dynamics of Contagion and Submerged Infections During the Second Wave of The SARS-CoV-2 Epidemic in the Italian Regions (2021) (0)
- Answering causal questions: Angrist, Imbens and the Nobel prize (2021) (0)
- BOOK OF ABSTRACTS EUROPEAN CAUSAL INFERENCE MEETING (2018) (0)
- Exploiting Nonlinear Difference-in-Difference Assumptions in a Regression Discontinuity Design (?) (2009) (0)
- The Effects of R&D Subsidies to Small and Medium-Sized Enterprises. Evidence from a Regional Program (2017) (0)
- The Causal Effect of PM2.5 Exposure on Hospital Admissions Among Medicare Enrollees with Chronic Debilitating Brain Disorders: A National Study. (2020) (0)
- Causal Inference Perspectives (2022) (0)
- Potential outcome approach to causal inference in assessing the short term impact of air pollution on mortality (2016) (0)
- A direct likelihood approach to principal stratification analysis (2013) (0)
- Short Term Impact of PM10 Exposure on Mortality: A Propensity Score Approach (2015) (0)
- Polychotomous choices and self-selection (1994) (0)
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