18Olea, J. & Santos, K. (2023). A general mixture model for cognitive diagnosis, Journal of Educational and Behavioral Statistics. https://doi.org/10.3102/10769986231176012.
17de la Torre, J. & Santos, K. (2023). On the relationship between unidimensional item response theory and higher-order cognitive diagnosis models. In L. A. van der Ark, W. Emons, & R. Meijer (Eds). Essays on Contemporary Psychometrics (pp. 389-412). Springer. https://doi.org/10.1007/978-3-031-10370-4
16Grande, R., Berdida, D., Santos, K., Pangket, P. and Cabansag, D (2022). Structural equation modeling of the relationship between nursing students’ quality of life and academic resilience, Journal of Taibah University Medical Sciences, 17(4), 667-677.
15de la Torre, J., Que, X.-L., & Santos, K. C. (2021). An empirical q-matrix validation method for the polytomous G-DINA model. Psychometrika. https://doi.org/10.1007/s11336-021-09821-x
14 Amonoy, M., Bantang, J. and Santos, K. (2021). Green consumer behavior modeling of selected Filipino millenials. The Journal of Asian Regional Association for Home Economics, 28(1), 1-16.
13Santos, K., de la Torre, J. & von Davier, M. (2020). Adjusting person fit index for skewness in cognitive diagnosis modeling. Journal of Classification, 37, 399-420.
12Santos, K. and de la Torre, J. (2018). Cognitive Diagnosis Modeling: An Overview and Illustration. In C. Magno & A. David (Eds.), Philippine and Global Perspectives on Educational Assessment (pp. 89-110). Quezon City, Philippines: Philippine Educational Measurement and Evaluation Association
11Chua, C., Pedrajita, J., & Santos, K. (2018). Gender differential item functioning in polytomous items: A comparison of three method. Educational Measurement and Evaluation Review, 9(1), 45-67.
10Barrios, E. and Santos, K. (2017). Spatial-temporal models and computational statistics methods: A survey. The Philippine Statistician, 66(1), 1-20.
9Santos, K. and Barrios, E. (2017). Improving predictive accuracy of logistic regression model using ranked set samples. Communications in Statistics - Simulation and Computation, 46(1), 78-90.
8Labitag, A., Aquino, E., Ramos, M, Santos, K. (2016). Risk factors for locoregional metastasis, distant metastasis and persistent disease in micropapillary thyroid cancer among filipinos, Philippine Journal of Internal Medicine, 54 (2).
7Ketherine, Mirasol, R., Santos, K. (2016). Correlation of percent body fat by bioelectrical impedance analysis with anthropometric and metabolic variables among adult filipinos, Philippine Journal of Internal Medicine, 54(2).
6Santos, K. (2014). Modelling zero-inflated clustered data: A semiparametric approach. The Philippine Statistician. 63(1), 21-31.
5Carlos, A., Mirasol, R., Aquino, E., Goco, M., Toledo, P., and Santos, K. (2014). Management and malignancy rate of thyroid nodules with a cytologic diagnosis of atypia or follicular lesion of undetermined significance. Journal of the ASEAN Federation of Endocrine Societies. 29(1), 78-84.
4Ching, M., Yap, J. M., Santos, K., Ong, C., and Ramos, J. (2013). Correlation of total IgE, house-dust mite specific IgE and absolute eosinophils in an asthmatic pediatric population. Philippine Science Letters, 6(2), 241-248.
3Santos K., Castillo, M., de Jesus, R., Telan, N., and Vidal, C. (2012). Nonparametric bootstrap estimation of the population ratio using ranked set sampling. The Philippine Statistician, 61(2), 53-66.
2Santos, K. (2012). Ranked set sampling. The Philippine Statistician, 61(1), 123-127.
1Santos, K. and Salagubang J. (2011). Investigating the efficiency of stratified ranked set sampling using nonparametric bootstrap estimation approach. The Philippine Statistician, 60, 15-30.