Milena Falcaro

Milena Falcaro


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Personal profile

Biographical details

Milena has a degree (4 years plus thesis) in Statistical and Economic Sciences and a PhD in Statistics, both from the University of Padova (Italy). She has extensive experience in medical statistics and epidemiology. Throughout the years she has developed expertise in both applied and methodological research, particularly with electronic health records, complex longitudinal studies and large population-based registry data.

Before joining the Cancer Prevention Group in January 2020, she held research positions at the University of Manchester (Biostatistics Group, Health Methodology Group and NW Institute for Bio-Health Informatics), the London School of Hygiene & Tropical Medicine and UCL.
Her main research interests are in survival analysis, methods for missing values, longitudinal and multilevel data, simulation studies and programming.


Selected publications


Falcaro M et al. (2021). The effects of the national HPV vaccination programme in England, UK, on cervical cancer and grade 3 cervical intraepithelial neoplasia incidence: a register-based observational study. The Lancet 398 (10316), 2084-2092.


Falcaro M et al (2019). Factors associated with discontinuation of antidepressant treatment after a single prescription among patients aged 55 or over: evidence from English primary care. Social Psychiatry & Psych. Epidemiology 54, 1545-1553.
Falcaro M and Carpenter J (2017). Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation. Cancer Epidemiology 48, 16-21.
Freemantle N, Ray D, Falcaro M et al (2016). BMI upon discharge from hospital and its relationship with survival: an observational study utilising rich clinical records linked with national hospital activity information and death certification. Journal of the Royal Society of Medicine 109, 230-238.
Falcaro M, Nur U, Rachet B and Carpenter J (2015). Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation. Epidemiology 26, 421-428.
Falcaro M, Pendleton N and Pickles A (2013). Analysing censored longitudinal data with non-ignorable missing values and individually-varying observation schedule: depression in older age. Journal Royal Statistical Society A 176, 415-430.
Falcaro M and Pickles A (2007). A flexible model for multivariate interval-censored survival times with complex correlation structure. Statistics in Medicine 26, 663-680.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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