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Power and sample size for clinical trials when efficacy is required in multiple endpoints: application to an Alzheimer's treatment trial.

, , , , and . Clinical trials (London, England), 2 (5): 387-93 (January 2005)4845<m:linebreak></m:linebreak>LR: 20071115; GR: AG 03991/AG/NIA NIH HHS/United States; GR: AG 05681/AG/NIA NIH HHS/United States; JID: 101197451; ppublish;<m:linebreak></m:linebreak>Sample size; Comparacions múltiples.

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Speaker verification with deep features., , , , and . IJCNN, page 747-753. IEEE, (2014)Automatic model redundancy reduction for fast back-propagation for deep neural networks in speech recognition., , , and . IJCNN, page 1-6. IEEE, (2015)An investigation on DNN-derived bottleneck features for GMM-HMM based robust speech recognition., , , and . ChinaSIP, page 30-34. IEEE, (2015)Coscor framework for DoA estimation on wireless array sensor network., , , and . ChinaSIP, page 215-219. IEEE, (2013)AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning., , , , , and . CoRR, (2019)Deep Discriminant Analysis for i-vector Based Robust Speaker Recognition., , , and . ISCSLP, page 195-199. IEEE, (2018)Design and Architecture of Dell Acceleration Appliances for Database (DAAD): A Practical Approach with High Availability Guaranteed., , , and . HPCC/CSS/ICESS, page 430-435. IEEE, (2015)A comparative study of robustness of deep learning approaches for VAD., , and . ICASSP, page 5695-5699. IEEE, (2016)Exploring Model Units and Training Strategies for End-to-End Speech Recognition., , , , and . ASRU, page 524-531. IEEE, (2019)Relay-aided multiple antenna transmissions for wireless backhaul applications., , and . Bell Labs Tech. J., 13 (4): 161-173 (2009)