77 citations · 81 across the 8 of their papers we have counts for
8 papers
Variable Selection in GLM and Cox Models with Second-Generation P-Values
Yi Zuo, Thomas G. Stewart, Jeffrey D. Blume
Variable selection has become a pivotal choice in data analyses that impacts subsequent inference and prediction. In linear models, variable selection using Second-Generation P-Val…
Variable Selection with Second-Generation P-Values
Yi Zuo, Thomas G. Stewart, Jeffrey D. Blume
Many statistical methods have been proposed for variable selection in the past century, but few balance inference and prediction tasks well. Here we report on a novel variable sele…
False Discovery Rate Computation: Illustrations and Modifications
Megan Hollister Murray, Jeffrey D. Blume
False discovery rates (FDR) are an essential component of statistical inference, representing the propensity for an observed result to be mistaken. FDR estimates should accompany o…
Likelihood Based Study Designs for Time-to-Event Endpoints
Jeffrey D Blume, Leena Choi
Likelihood methods for measuring statistical evidence obey the likelihood principle while maintaining bounded and well-controlled frequency properties. These methods lend themselve…
An Empirical Bayes Approach to Regularization Using Previously Published Models
Derek K Smith, Loren E Smith, Brett Kroncke +3
This manuscript proposes a novel empirical Bayes technique for regularizing regression coefficients in predictive models. When predictions from a previously published model are ava…
Second-generation p-values: improved rigor, reproducibility, & transparency in statistical analyses
Jeffrey D. Blume, Lucy DAgostino McGowan, William D. Dupont +1
Verifying that a statistically significant result is scientifically meaningful is not only good scientific practice, it is a natural way to control the Type I error rate. Here we i…