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Showing results (11-20 of 15) with videos related to

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Stats|October 19, 2020
A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations with Ordinal Toxicity GradesMárcio A Diniz, Sungjin Kim, Mourad Tighiouart
Stats|October 6, 2025
Integrating Proteomic Analysis and Machine Learning to Predict Prostate Cancer AggressivenessSheila M Valle Cortés, Jaileene Pérez Morales, Mariely Nieves Plaza, et al.
Stats|October 1, 2025
Doubly Robust Estimation and Semiparametric Efficiency in Generalized Partially Linear Models with Missing OutcomesLu Wang, Zhongzhe Ouyang, Xihong Lin
Stats|May 13, 2024
A Comparison of Existing Bootstrap Algorithms for Multi-Stage Sampling DesignsSixia Chen, David Haziza, Zeinab Mashreghi
Stats|November 3, 2023
Evaluation of Risk Prediction with Hierarchical Data: Dependency Adjusted Confidence Intervals for the AUCCamden Bay, Robert J Glynn, Johanna M Seddon, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Stats|October 19, 2020
A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations with Ordinal Toxicity GradesMárcio A Diniz, Sungjin Kim, Mourad Tighiouart
Stats|October 6, 2025
Integrating Proteomic Analysis and Machine Learning to Predict Prostate Cancer AggressivenessSheila M Valle Cortés, Jaileene Pérez Morales, Mariely Nieves Plaza, et al.
Stats|October 1, 2025
Doubly Robust Estimation and Semiparametric Efficiency in Generalized Partially Linear Models with Missing OutcomesLu Wang, Zhongzhe Ouyang, Xihong Lin
Stats|May 13, 2024
A Comparison of Existing Bootstrap Algorithms for Multi-Stage Sampling DesignsSixia Chen, David Haziza, Zeinab Mashreghi
Stats|November 3, 2023
Evaluation of Risk Prediction with Hierarchical Data: Dependency Adjusted Confidence Intervals for the AUCCamden Bay, Robert J Glynn, Johanna M Seddon, et al.
Pageof 2