Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints.

MLA

Smith, Adam L., and Sofía S. Villar. “Bayesian Adaptive Bandit-Based Designs Using the Gittins Index for Multi-Armed Trials with Normally Distributed Endpoints.” Journal of Applied Statistics, vol. 45, no. 6, May 2018, pp. 1052–76. EBSCOhost, https://doi.org/10.1080/02664763.2017.1342780.

APA

Smith, A. L., & Villar, S. S. (2018). Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints. Journal of Applied Statistics, 45(6), 1052–1076. https://doi.org/10.1080/02664763.2017.1342780

Chicago

Smith, Adam L., and Sofía S. Villar. 2018. “Bayesian Adaptive Bandit-Based Designs Using the Gittins Index for Multi-Armed Trials with Normally Distributed Endpoints.” Journal of Applied Statistics 45 (6): 1052–76. doi:10.1080/02664763.2017.1342780.