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Philip S Boonstra

Showing results (11-20 of 58) with videos related to

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Statistics in Biosciences|February 3, 2016
Data-adaptive Shrinkage via the Hyperpenalized EM AlgorithmPhilip S Boonstra, Jeremy M G Taylor, Bhramar Mukherjee
Statistica Sinica|March 18, 2016
A Small-Sample Choice of the Tuning Parameter in Ridge RegressionPhilip S Boonstra, Bhramar Mukherjee, Jeremy M G Taylor
Clinical Trials (London, England)|January 22, 2021
A modular framework for early-phase seamless oncology trialsPhilip S Boonstra, Thomas M Braun, Elizabeth C Chase
The American Statistician|August 20, 2025
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance EstimationElizabeth C Chase, Philip S Boonstra, Jeremy M G Taylor
Statistics in Medicine|December 14, 2023
Modeling basal body temperature data using horseshoe process regressionElizabeth C Chase, Jeremy M G Taylor, Philip S Boonstra
American Journal of Hematology|January 11, 2021
Ruxolitinib in adult patients with secondary hemophagocytic lymphohistiocytosisPhilip S Boonstra, Asra Ahmed, Samuel A Merrill, et al.
Journal of Survey Statistics and Methodology|December 31, 2020
Measures of the Degree of Departure from Ignorable Sample SelectionRoderick J A Little, Brady T West, Philip S Boonstra, et al.
Clinical Trials (London, England)|December 27, 2023
Optimizing the doses of cancer drugs after usual dose findingGarth W Strohbehn, Walter M Stadler, Philip S Boonstra, et al.
Journal of the American Medical Informatics Association : JAMIA|March 23, 2016
Is the problem list in the eye of the beholder? An exploration of consistency across physiciansJohn C Krauss, Philip S Boonstra, Anna V Vantsevich, et al.
Ebiomedicine|January 14, 2020
TP63 isoform expression is linked with distinct clinical outcomes in cancerArmand Bankhead, Thomas McMaster, Yin Wang, et al.
Pageof 6

Showing results (11-20 of 58) with videos related to

Sort By:
Pageof 6
Statistics in Biosciences|February 3, 2016
Data-adaptive Shrinkage via the Hyperpenalized EM AlgorithmPhilip S Boonstra, Jeremy M G Taylor, Bhramar Mukherjee
Statistica Sinica|March 18, 2016
A Small-Sample Choice of the Tuning Parameter in Ridge RegressionPhilip S Boonstra, Bhramar Mukherjee, Jeremy M G Taylor
Clinical Trials (London, England)|January 22, 2021
A modular framework for early-phase seamless oncology trialsPhilip S Boonstra, Thomas M Braun, Elizabeth C Chase
The American Statistician|August 20, 2025
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance EstimationElizabeth C Chase, Philip S Boonstra, Jeremy M G Taylor
Statistics in Medicine|December 14, 2023
Modeling basal body temperature data using horseshoe process regressionElizabeth C Chase, Jeremy M G Taylor, Philip S Boonstra
American Journal of Hematology|January 11, 2021
Ruxolitinib in adult patients with secondary hemophagocytic lymphohistiocytosisPhilip S Boonstra, Asra Ahmed, Samuel A Merrill, et al.
Journal of Survey Statistics and Methodology|December 31, 2020
Measures of the Degree of Departure from Ignorable Sample SelectionRoderick J A Little, Brady T West, Philip S Boonstra, et al.
Clinical Trials (London, England)|December 27, 2023
Optimizing the doses of cancer drugs after usual dose findingGarth W Strohbehn, Walter M Stadler, Philip S Boonstra, et al.
Journal of the American Medical Informatics Association : JAMIA|March 23, 2016
Is the problem list in the eye of the beholder? An exploration of consistency across physiciansJohn C Krauss, Philip S Boonstra, Anna V Vantsevich, et al.
Ebiomedicine|January 14, 2020
TP63 isoform expression is linked with distinct clinical outcomes in cancerArmand Bankhead, Thomas McMaster, Yin Wang, et al.
Pageof 6