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Philip S Boonstra

Showing results (1-10 of 58) with videos related to

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The Annals of Applied Statistics|August 9, 2021
Inferring a consensus problem list using penalized multistage models for ordered dataPhilip S Boonstra, John C Krauss
Biostatistics (Oxford, England)|September 25, 2018
Incorporating historical models with adaptive Bayesian updatesPhilip S Boonstra, Ryan P Barbaro
Statistics in Medicine|July 18, 2019
Accounting for established predictors with the multistep elastic netElizabeth C Chase, Philip S Boonstra
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|January 15, 2025
A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regressionPhilip S Boonstra, Pedro Orozco Del Pino
Computational Statistics & Data Analysis|September 19, 2019
Default Priors for the Intercept Parameter in Logistic RegressionsPhilip S Boonstra, Ryan P Barbaro, Ananda Sen
Statistical Methods in Medical Research|May 24, 2014
Increasing efficiency for estimating treatment-biomarker interactions with historical dataPhilip S Boonstra, Jeremy Mg Taylor, Bhramar Mukherjee
The Annals of Applied Statistics|January 18, 2014
BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORSPhilip S Boonstra, Bhramar Mukherjee, Jeremy Mg Taylor
Plos One|October 30, 2023
Targeted randomization dose optimization trials enable fractional dosing of scarce drugsPhilip S Boonstra, Alex Tabarrok, Garth W Strohbehn
Pharmaceutical Statistics|February 24, 2024
Shrinkage priors for isotonic probability vectors and binary data modeling, with applications to dose-response modelingPhilip S Boonstra, Daniel R Owen, Jian Kang
Biostatistics (Oxford, England)|October 23, 2012
Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approachesPhilip S Boonstra, Jeremy M G Taylor, Bhramar Mukherjee
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
The Annals of Applied Statistics|August 9, 2021
Inferring a consensus problem list using penalized multistage models for ordered dataPhilip S Boonstra, John C Krauss
Biostatistics (Oxford, England)|September 25, 2018
Incorporating historical models with adaptive Bayesian updatesPhilip S Boonstra, Ryan P Barbaro
Statistics in Medicine|July 18, 2019
Accounting for established predictors with the multistep elastic netElizabeth C Chase, Philip S Boonstra
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|January 15, 2025
A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regressionPhilip S Boonstra, Pedro Orozco Del Pino
Computational Statistics & Data Analysis|September 19, 2019
Default Priors for the Intercept Parameter in Logistic RegressionsPhilip S Boonstra, Ryan P Barbaro, Ananda Sen
Statistical Methods in Medical Research|May 24, 2014
Increasing efficiency for estimating treatment-biomarker interactions with historical dataPhilip S Boonstra, Jeremy Mg Taylor, Bhramar Mukherjee
The Annals of Applied Statistics|January 18, 2014
BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORSPhilip S Boonstra, Bhramar Mukherjee, Jeremy Mg Taylor
Plos One|October 30, 2023
Targeted randomization dose optimization trials enable fractional dosing of scarce drugsPhilip S Boonstra, Alex Tabarrok, Garth W Strohbehn
Pharmaceutical Statistics|February 24, 2024
Shrinkage priors for isotonic probability vectors and binary data modeling, with applications to dose-response modelingPhilip S Boonstra, Daniel R Owen, Jian Kang
Biostatistics (Oxford, England)|October 23, 2012
Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approachesPhilip S Boonstra, Jeremy M G Taylor, Bhramar Mukherjee
Pageof 6