3 papers
stat.ME2017
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…
stat.AP2017
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…
stat.ME2017
Bagged Empirical Null p-values: A Method to Account for Model Uncertainty in Large Scale Inference
Sarah Fletcher Mercaldo, Jeffrey D. Blume
When conducting large scale inference, such as genome-wide association studies or image analysis, nominal -values are often adjusted to improve control over the family-wise erro…