activity
20062024
most citedTwo General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian

82 citations · 199 across the 24 of their papers we have counts for

collaborators
Showing math.STShow all

6 papers · 1 filter

math.ST2023

Finite-sample bounds to the normal limit under group sequential sampling

Julian Aronowitz, Jay Bartroff

In group sequential analysis, data is collected and analyzed in batches until pre-defined stopping criteria are met. Inference in the parametric setup typically relies on the limit…

math.ST2011

A New Characterization of Elfving's Method for High Dimensional Computation

Jay Bartroff

We give a new characterization of Elfving's (1952) method for computing c-optimal designs in k dimensions which gives explicit formulae for the k unknown optimal weights and k unkn…

math.ST2011

Generalized Likelihood Ratio Statistics and Uncertainty Adjustments in Efficient Adaptive Design of Clinical Trials

Jay Bartroff, Tze Leung Lai

A new approach to adaptive design of clinical trials is proposed in a general multiparameter exponential family setting, based on generalized likelihood ratio statistics and optima…

math.ST2011

Optimal Multistage Sampling in a Boundary-Crossing Problem

Jay Bartroff

Brownian motion with known positive drift is sampled in stages until it crosses a positive boundary . A family of multistage samplers that control the expected overshoot over th…

math.ST2007★ 15 cited

Asymptotically optimal multistage tests of simple hypotheses

Jay Bartroff

A family of variable stage size multistage tests of simple hypotheses is described, based on efficient multistage sampling procedures. Using a loss function that is a linear combin…

math.ST2006★ 6 cited

Efficient three-stage -tests

Jay Bartroff

Three-stage -tests of separated one-sided hypotheses are derived, extending Lorden's optimal three-stage tests for the one-dimensional exponential family by using Lai and Zhang'…