Dipartimento di Statistica, Informatica, Applicazioni "Giuseppe Parenti"
viale Morgagni 59, Firenze - aula 32
Bayesian Causal Inference
Francesca Dominici
Harvard T.H. Chan School of Public Health
Calendario:
mercoledì 14 febbraio 2018: 11.00-12.30; 14.00-17.30
11.00-12.30 - Bayesian Causal Inference: Part 1
14.00-15.30 - Bayesian Causal Inference: Part 2
16.00-17:30 - Bayesian Causal Inference in R (in collaborazione con Armando Turchetta) aula C
Testi di riferimento:
- Wilson, A., Zigler, C. M., Patel, C. J., Dominici, F. (2017), Model-Averaged Confounder Adjustment for Estimating Multivariate Exposure Effects. Biometrics (under revision).
- Wang, C., Parmigiani, G., & Dominici, F. (2012). Bayesian Effect Estimation Accounting for Adjustment Uncertainty. Biometrics, 68(3), 661-671.
- Wang, C., Dominici, F., Parmigiani, G., & Zigler, C. M. (2015). Accounting for Uncertainty in Confounder and Effect Modifier Selection when Estimating Average Causal Effects in Generalized Linear Models. Biometrics, 71(3), 654-665.
Contatti:
prof.ssa Fabrizia Mealli fabrizia.mealli(AT)unifi.it