- San Martín ,E., Perticara, M., Varas, I.M., Azahi, K., González, J. (2024) , The role of identifiability in empirical research, In W. P. Fisher, Jr. & L. R. Pendrill (Eds.), Models, measurement, and metrology extending the SI: Trust and quality assured knowledge infrastructures (K.-D. Sommer & T. Frohlich, Eds.). De Gruyter Series in Measurement Sciences. [DOI]
- Alarcón-Bustamante, E.,Varas, I.M., & San Martín, E. (2023) , On the impact of missing outcomes in linear regression, Chilean Journal of Statistics, 14 (1), 26-36. [DOI]
- Pavani,J., Gutierrez, L., Arriagada, G., Cerda, J., Varas, I., Gutierrez, I., Jofré, L., Ortiz, O. (2022) , Factor associated to the duration of COVID-19
lockdowns: a study in Chile, Scientific Reports. [DOI] - Varas, I. M., González, J., Quintana, F. A. (2020) , A Bayesian nonparametric latent approach for score distributions in test equating, Journal of Educational and Behavioural Statistics, [DOI]
- Varas, I., González, J., Quintana, F. A. (2019), A new equating method through latent variables, In M. Wiberg, S. A. Culpepper, R. Janssen, J. Gonz lez & D. Molenaar (Eds.), Quantitative Psychology. pp 343-353. Cham: Springer.,[DOI]
Submitted papers
- Wiberg, M., González, J. & von Davier, A. A. (2024). Generalized Kernel Equating with Applications in R. Book review
- The Weight of Missing Data: A Case Study of the Chilean CASEN Survey. Ernesto San Martín, Marcela Perticara, Inés M. Varas, Eduardo Alarcón-Bustamante