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Profile

• Now: cancer epidemiologist at CNIO (Madrid). • Interests: epidemiology; public health; causal evidence triangulation. • Student: Public Health LSHTM, UNED; Theoretical Statistics OU; Economy UOC. • 🇸🇲 in 🇪🇸.

Lorenzo Fabbri, Ph.D.

I am extremely happy to have been awarded, apparently, a Juan de la Cierva postdoctoral fellowship from @ageinves.bsky.social to “continue” (I just started) my work at @cniostopcancer.bsky.social with Nuria Malats. 🥹 #cancer #episky

Lo que no entiendo es como Vox puede ser a más del 17% cuando Sumar está a 6%.

I've been building the etverse: R packages for causal inference in epi. The idea is triangulation: come at the same question from angles that fail for unrelated reasons (different methods, designs, assumptions) and trust it more when they agree. etverse.github.io #episky #causalsky #RStats

Now adding support also for the natural history MTPs of @idiaz.bsky.social et al.: etverse.github.io/causatr/vign...

Still cooking: matchatr (case-control / nested CC / case-cohort) and negatr (negative-control methods). DAGs, target-trial emulation and bias analysis after that. Early days, would love your feedback. github.com/etverse

survatr is the survival side: pooled-logistic hazard g-computation, IPW and ICE for time-to-event outcomes, risk-difference and RMST contrasts, competing risks. Runs on person-period data. etverse.github.io/survatr/

Two (almost) are ready. causatr is the engine: g-formula and ICE g-computation, IPW, doubly-robust AIPW, structural nested mean models, matching (with sandwich and bootstrap variance). etverse.github.io/causatr/

⏰Cierra la convocatoria: Prácticas Laboratorio Curso Académico AECC 2026/2027 Dirigida a estudiantes que quieran vivir su primera experiencia en investigación en cáncer 📅11 de junio a las 15:00h Conoces a alguien a quien le pueda interesar ¡Comparte! www.contraelcancer.es/es/area-inve...

Lorenzo Fabbri, Ph.D.

Fundación Científica de la Asociación Española Contra el Cáncer