Dr Milena FalcaroSenior StatisticianEmail: m.falcaro@qmul.ac.uk ProfileResearchPublicationsProfileI am a researcher with extensive experience in medical statistics and epidemiology. I have 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 Wolfson Institute of Population Health in September 2023, I held research positions at the University of Manchester, LSHTM, UCL and King’s College London.ResearchResearch Interests:- Survival analysis- Methods for missing values- Statistical modelling- Simulation studies- Development of statistical software, especially in Stata- Cancer epidemiology and prevention- Population-based registry data and electronic health recordsPublicationsPlease follow through for a complete list of Milena's 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, 2084-2092. https://doi.org/10.1016/S0140-6736(21)02178-4 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. https://doi.org/10.1016/j.canep.2017.02.005 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. https://doi.org/10.1097/ede.0000000000000283 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. https://doi.org/10.1111/j.1467-985X.2011.01034.x 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. https://doi.org/10.1002/sim.2522