About – Alessandro Gasparini

Alessandro Gasparini is a biostatistician with substantial experience in working with real-world evidence studies and a strong background in survival analysis, longitudinal data analysis, multilevel modelling, and computational statistics, including methods development. He is passionate about building tools to enable more efficient and reproducible data analysis pipelines and to bring modern statistical methods to practice. To that end, he has developed R packages that have been downloaded thousands of times from the Comprehensive R Archive Network (CRAN) and he is a member of the American Statistical Association Biopharmaceutical Section Software Engineering Working Group (ASA BIOP SWE WG). Alessandro joined Red Door Analytics in November 2022 as a Senior Biostatistician.

Read more about Alessandro in his first blog post.

Education

• PhD in Biostatistics, University of Leicester, UK, awarded in 2020 with a thesis titled Multilevel Modelling of Electronic Health Records
• MSc in Biostatistics and Experimental Statistics, University of Milano-Bicocca, Italy, 2015
• BSc in Statistics and Computing Technologies, University of Padua, Italy, 2012

Selected publications

Gasparini A, Humphreys K. A natural history and copula-based joint model for regional and distant breast cancer metastasis. Statistical Methods in Medical Research, 2022, 0(0)

Gasparini A, Humphreys K. Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data. Statistical Methods in Medical Research, 2022, 31(5):862-881

Syriopoulou E, Gasparini A, Humphreys K, Andersson TML. Assessing lead time bias due to mammography screening on estimates of loss in life expectancy. Breast Cancer Research, 2022, 24(15)

Gasparini A, Abrams KR, Barrett JK, Major RW, Sweeting MJ, Brunskill NJ, Crowther MJ. Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study. Statistica Neerlandica, 2020, 74(1):5-23

Harhay MO, Gasparini A, Walkey AJ, Weissman GE, Crowther MJ, Ratcliffe SJ, Russell JA. Assessing the course of organ dysfunction using joint longitudinal and time-to-event modeling in the vasopressin and septic shock trial (VASST). Critical Care Explorations, 2020, 2(4)

Gasparini A, Clements MS, Abrams KR, Crowther MJ. Impact of model misspecification in shared frailty survival models. Statistics in Medicine, 2019, 38(23):4477-4502

Gasparini A, Evans M, Barany P, Xu H, Jernberg T, Ärnlöv J, Lund LH, Carrero JJ. Plasma potassium ranges associated with mortality across stages of chronic kidney disease: the Stockholm CREAtinine Measurements (SCREAM) project. Nephrology Dialysis Transplantation, 2019, 34(9):1534-1541

Gasparini A. rsimsum: Summarise results from Monte Carlo simulation studies. Journal of Open Source Software, 2018, 3(26):739

Gasparini A. comorbidity: An R package for computing comorbidity scores. Journal of Open Source Software, 2018, 3(23):648

Klatte DCF, Gasparini A, Xu H, de Deco P, Trevisan M, Johansson ALV, Wettermark B, Ärnlöv J, Janmaat CJ, Lindholm B, Dekker FW, Coresh J, Grams ME, Carrero JJ. Association between proton pump inhibitor use and risk of progression of chronic kidney disease. Gastroenterology, 2017, 153(3):702-710