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. https://doi.org/10.1093/biostatistics/kxy048
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. https://doi.org/10.1214/18-AOAS1138
S. Golchi (2018) Informative Priors in Bayesian Inference and Computation. Statistical Analysis and Data Mining: The ASA Data Science Journal. https://doi.org/10.1002/sam.11371
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.