Enhancing DHA supplementation adherence: A Bayesian approach with finite mixture models and irregular interim schedules in adaptive trial designs.

MLA

Dutta, Sreejata, et al. “Enhancing DHA Supplementation Adherence: A Bayesian Approach with Finite Mixture Models and Irregular Interim Schedules in Adaptive Trial Designs.” Statistical Methods in Medical Research, vol. 33, no. 11–12, Nov. 2024, pp. 2062–78. EBSCOhost, https://doi.org/10.1177/09622802241283165.

APA

Dutta, S., Boyd, S., Carlson, S. E., Christifano, D. N., Lee, G. T., Smith, S. A., & Gajewski, B. J. (2024). Enhancing DHA supplementation adherence: A Bayesian approach with finite mixture models and irregular interim schedules in adaptive trial designs. Statistical Methods in Medical Research, 33(11–12), 2062–2078. https://doi.org/10.1177/09622802241283165

Chicago

Dutta, Sreejata, Samuel Boyd, Susan E Carlson, Danielle N Christifano, Gene T Lee, Sharla A Smith, and Byron J Gajewski. 2024. “Enhancing DHA Supplementation Adherence: A Bayesian Approach with Finite Mixture Models and Irregular Interim Schedules in Adaptive Trial Designs.” Statistical Methods in Medical Research 33 (11–12): 2062–78. doi:10.1177/09622802241283165.