activity
20062011
most citedApproximate Dynamic Programming and Its Applications to the Design of Phase I Cancer Trials

36 citations · 57 across the 10 of their papers we have counts for

collaborators

11 papers

stat.ME2011

Incorporating Individual and Collective Ethics into Phase I Cancer Trial Designs

Jay Bartroff, Tze Leung Lai

A general framework is proposed for Bayesian model-based designs of Phase I cancer trials, in which a general criterion for coherence (Cheung, 2005) of a design is also developed.…

math.PR2011

The Fighter Problem: Optimal Allocation of a Discrete Commodity

Jay Bartroff, Ester Samuel-Cahn

The Fighter problem with discrete ammunition is studied. An aircraft (fighter) equipped with anti-aircraft missiles is intercepted by enemy airplanes, the appearance of which f…

stat.ME2011

Multistage tests of multiple hypotheses

Jay Bartroff, Tze Leung Lai

Conventional multiple hypothesis tests use step-up, step-down, or closed testing methods to control the overall error rates. We will discuss marrying these methods with adaptive mu…

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…

stat.ME2011

Efficient adaptive designs with mid-course sample size adjustment in clinical trials

Jay Bartroff, Tze Leung Lai

Adaptive designs have been proposed for clinical trials in which the nuisance parameters or alternative of interest are unknown or likely to be misspecified before the trial. Where…

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…