82 citations · 199 across the 24 of their papers we have counts for
4 papers · 1 filter
Sequential Tests of Multiple Hypotheses Controlling False Discovery and Nondiscovery Rates
Jay Bartroff, Jinlin Song
We propose a general and flexible procedure for testing multiple hypotheses about sequential (or streaming) data that simultaneously controls both the false discovery rate (FDR) an…
A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates
Jay Bartroff, Jinlin Song
We present a unifying approach to multiple testing procedures for sequential (or streaming) data by giving sufficient conditions for a sequential multiple testing procedure to cont…
Sequential Tests of Multiple Hypotheses Controlling Type I and II Familywise Error Rates
Jay Bartroff, Jinlin Song
This paper addresses the following general scenario: A scientist wishes to perform a battery of experiments, each generating a sequential stream of data, to investigate some phenom…
Two General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian
Tatiana Tatarinova, Michael Neely, Jay Bartroff +7
Population pharmacokinetic (PK) modeling methods can be statistically classified as either parametric or nonparametric (NP). Each classification can be divided into maximum likelih…