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Theory and Methods

Multiple Testing in a Two-Stage Adaptive Design With Combination Tests Controlling FDR

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Pages 1385-1401 | Received 01 Jun 2011, Published online: 19 Dec 2013

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Iram Mushtaq, Qin Zhou & Xuemin Zi. (2023) Screening-Assisted Dynamic Multiple Testing with False Discovery Rate Control. Journal of Systems Science and Complexity 36:2, pages 716-754.
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Ron Berman & Christophe Van den Bulte. (2022) False Discovery in A/B Testing. Management Science 68:9, pages 6762-6782.
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Tao Feng, Pallavi Basu, Wenguang Sun, Hsun Teresa Ku & Wendy J. Mack. (2019) Optimal design for high‐throughput screening via false discovery rate control. Statistics in Medicine 38:15, pages 2816-2827.
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Sanat K. Sarkar, Aiying Chen, Li He & Wenge Guo. (2019) Group sequential BH and its adaptive versions controlling the FDR. Journal of Statistical Planning and Inference 199, pages 219-235.
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Yi-Hui Zhou, Paul Brooks & Xiaoshan Wang. (2017) A Two-Stage Hidden Markov Model Design for Biomarker Detection, with Application to Microbiome Research. Statistics in Biosciences 10:1, pages 41-58.
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T. Tony CaiWenguang Sun. (2017) Large-Scale Global and Simultaneous Inference: Estimation and Testing in Very High Dimensions. Annual Review of Economics 9:1, pages 411-439.
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Jakub Pecanka & Jelle Goeman. (2017) Robin Hood: A cost-efficient two-stage approach to large-scale simultaneous inference with non-homogeneous sparse effects. Statistical Applications in Genetics and Molecular Biology 16:2.
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Wenguang Sun & Zhi Wei. (2015) Hierarchical recognition of sparse patterns in large-scale simultaneous inference. Biometrika 102:2, pages 267-280.
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Ron Berman & Christophe Van den Bulte. (2020) False Discovery in A/B Testing. SSRN Electronic Journal.
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