research interests

• Causal Inference for Observational Studies, Sequential Treatments, Regression Discontinuity Designs
• Bayesian Inference and Applications
• Randomized Control Trials
• Forensic Statistics
• Probabilistic Expert Systems for DNA based Personal Identification

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pubblications & stuff

published

• Wrigth, E., Ricciardi, F. et al. (2018). Metastatic spine tumor epidemiology: comparison of trends in surgery across two decades and three continents. World Neurosurg.
• Choi, D., Ricciardi, F. et al. (2018). Prediction Accuracy of Common Prognostic Scoring Systems for Metastatic Spine Disease: Results of a Prospective International Multicentre Study of 1469 Patients. Spine.
• Walters, K.R., Frost, R., Ricciardi, F. et al. (2017). Home-based health promotion for older people with mild frailty: the HomeHealth intervention development and feasibility RCT. Health technology assessment 21(73), 1-128.
• Frost, R., Belk, C., Ricciardi, F. et al. (2017). Health promotion interventions for community-dwelling older people with mild or pre-frailty: a systematic review and meta-analysis. BMC Geriatrics, 17(1), 157.
• Pinchi, V., De Luca, F., Ricciardi, F. et al. (2016). Combining dental and skeletal evidence in age classification: pilot study in a sample of Italian sub-adults. Legal Medicine, 20, 75-79.
• Ricciardi, F. & Slooten, K. (2014). Mutation Models for DVI analysis. FSI:Genetics, 11, 85-95.
• Pinchi, V., De Luca, F., Ricciardi, F. et al. (2014). Skeletal Age Estimation for forensic purposes: a comparison of GP, TW2 and TW3 methods on an italian sample. Forensic Science International, 238, 83-90.
• Slooten, K. & Ricciardi, F. (2013). Estimation of mutation probabilities for autosomal markers. FSI:Genetics, 7(3), 337-344.
• Corradi, F. & Ricciardi, F. (2013). Evaluation of Kinship Identification Systems Based on STR DNA Profiles. JRSS: Series C, 62(5), 649-668.
• Ricciardi, F. (2013). Pre-Experimental Assessment of Forensic DNA Identification. University of Florence (Ph.D. Thesis).

in progress

• Reverse Random Walk priors for Regression Discontinuity Designs.
• Bayesian modelling for binary outcomes in the Regression Discontinuity Design.
• Bayesian Inference for Sequential Treatments under Latent Sequential Ignorability.
• General Practitioners’ adherence to prescribing guidelines for statins in the United Kingdom.

ongoing projects

• Regression Discontinuity Designs for epidemiological research
• INHALE project
• I-CAN-CARE
• Home Health

talks and posters

• ICPE 2016. The Regression Discontinuity Design in Epidemiology & Do General Practitioners adhere to the guidelines? – A study based on statins prescriptions (Posters). Dublin, Ireland, Aug. 2016
• BAYSM 2016. Bayesian Modelling for Binary Outcomes in the Regression Discontinuity Design (Poster). Florence, Italy, Jun. 2016.
• UK-CIM 2016. Reverse Random Walk priors for Regression Discontinuity Designs (Talk). London, UK, Apr. 2016.
• Bayesian Inference for Sequential Treatments, under Latent Sequential Ignorability (Talk) @ IBC 2014, Florence, Italy, Jul. 2014 & UK-CIM 2014, Cambridge, UK, Apr. 2014 & SESM 2013, Barcelona, Spain, Dec. 2013.
• S.Co. 2013. Evaluating Kinship Identification Systems  (Talk). Milan, Italy, Sep. 2013.
• PESFoG’12. Pre & Post-Experimental Evaluation: a real case application (Poster). Roma, Italy, Oct. 2012.
• ICFIS 2011. Evaluation of kinship identification systems: some violations to standard assumptions (Poster). Seattle, WA. Jul. 2011.
• YIRCoBL’11.Evaluation of kinship identification systems with some violations to standard assumptions (Talk). Istanbul, Turkey. Jun. 2011.
• Valencia 9th International Meetings on Bayesian Statistics. Informativeness and experimental design issues in definite identification systems based on genetic markers (Poster). Benidorm, Spain, Jun. 2010.

 

download my complete Curriculum Vitae

education

• PhD (Dottorato di Ricerca*) in Applied Statistics, University of Florence, Italy, 2013.

Dissertation: Pre-Experimental Assessment of Forensic DNA Identification Systems (tutor prof. Fabio Corradi).

• MSc (Laurea Magistrale*) in Statistics and Computer Sciences for Companies, University of Florence, Italy, 2009.

• BSc (Laurea*) in Statistics , University of Florence, Italy, 2007.

* Italian academic degree names

teaching

• 2017: Tutorials for Practical Statistics For Medical Research,  Medical Statistics Short Course, 27 – 30 June 2017, University College London, UK.

• 2016 – present: Research Methods, Drug Discovery MSc, Advanced Biomedical Imaging MSc, IoN MSc, University College London, UK.

• 2011 – 2015: Tutorials for the course in Statistical Inference, MS in Statistics, University of Florence.

• 2014 : Teaching Assistance for the course in Quantitative Methods, New York University, Florence.

• October 2013: Tutorials for SIS short course in Teoria e pratica dei modelli ad effetti casuali per dati multilivello e longitudinali [italian website], Dept. of Statistics, Computer Science, Applications, University of Florence.

• June-September 2013: Introduction to Statistical Principles, (series of seminars), Dept. of Legal Medicine, University of Florence.

contacts

fell free to contact me. I check my e-mails daily. you can use…

• my faculty e-mail address: f.ricciardi [at] ucl.ac.uk;
• my personal e-mail address: fede.ricciardi [at] gmail.com.

probability is the very guide of Life [Cicero, De Natura]