S. Golchi. (2021) Estimating the Design Operating Characteristics in Clinical Trials with the Ordinal Scale Disease Progression Endpoint .  arXiv: [stat:ME]

M. Miocevic, S. Golchi. (2021) Bayesian mediation analysis with power prior distributions. Multivariate Behavioral Research.(accepted).

S. Golchi. (2020) Use of Historical Individual Patient Data in Analysis of Clinical Trials. arXiv:2002.09910 [stat.AP]

S. Golchi, K. Thorlund. (2020) Sequential Monte Carlo for Response Adaptive Randomized Trials. Biostatistics. Vol. 21, No. 2, pp. 287–301.

L. Dron, S. Golchi, G. Hsu, K. Thorlund. (2019). Minimizing control group allocation in randomized trials using dynamic borrowing of external control data: an application to second line therapy for non-small cell lung cancer. Contemporary Clinical Trials Communications. 16:100446. doi:http://10.1016/j.conctc.2019.100446

K. Thorlund, S. Golchi, J. Haggstrom, E. Mills. (2019). Highly Efficient Clinical Trials Simulator (HECT): Software application for planning and simulating platform adaptive trials. Gates Open Research. 3:780. doi:http://10.12688/gatesopenres.12912.2

S. Golchi and R. Lockhart. (2018) A Frequency-Calibrated Bayesian Search for New Particles. Annals of Applied Statistics. 12:3, 1939-1968.

S. Golchi (2018) Informative Priors in Bayesian Inference and Computation. Statistical Analysis and Data Mining: The ASA Data Science Journal.

K. Thorlund, S. Golchi, E. Mills. (2017) Bayesian Adaptive Clinical Trials of Combination Treatments. Contemporary Clinical Trials Communications. 8, 227-233.

S. Golchi and D.A. Campbell (2016). Sequentially Constrained Monte Carlo. Computational Statistics and Data Analysis. 97, 98-113.

S. Golchi, D. Bingham, H. Chipman, and D.A. Campbell (2015). Monotone Emulation of Computer Experiments. SIAM/ASA Journal on Uncertainty Quantification. 3:1, 370-392.