Published journal articles
J. P. Spillane, M. Shirrell, & S. Adhikari* (2018). Constructing ‘experts’ among peers: Test data, educational infrastructure, and teachers’ interactions about teaching. Educational Evaluation and Policy Analysis.
S. Adhikari* and B. Dabbs (2018). Social Network Analysis in R: A Software Review. Journal of Education and Behavioral Statistics. Vol 43, Issue 2, pp. 225 – 253.
S. Somanchi, S. Adhikari*, A. Lin, E. Eneva, and R. Ghani (2015). Early prediction of cardiac arrest (code blue) using electronic medical records. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’15, pages 2119–2126. New York, NY, USA.
Winner of the AIS SIGHealth 2016 Best Paper Award Competition
S. Adhikari*, S. Rose and S-L. T. Normand (2018+). Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Arterial Access Sites for Opening Blocked Blood Vessels. arXiv preprint. (Revise and resubmit)
T. Sweet and S. Adhikari*(2018+). A latent space model for network influence. (Revise and resubmit)
J. V. Spertus, S. Adhikari* and S-L. T. Normand (2018+). Regularization and hierarchical prior distributions for adjustment in health care claims data: rethinking comorbidity score . arXiv preprint. (Revision under review)
S. Adhikari*, F. Lecci, J. T. Becker, B. W Junker, L. H. Kuller, O. L. Lopez,and R. J. Tibshirani (2018+). High-dimensional longitudinal classification with the multinomial fused lasso. arXiv preprint. (Revision under review)
S. Adhikari* and B. W. Junker (2017). Analysis of longitudinal advice seeking networks of teachers using longitudinal latent space network model with covariates. (Under revision)
S. Adhikari*, S-L. T. Normand, J. Bloom, D. Shahian and S. Rose. Revisiting Performance Metrics for Prediction with Rare Outcomes. In preparation.
B. Dabbs, S. Adhikari* and T. M. Sweet. Conditionally independent dyads (CID) network models. In preparation.