activity
20132021
most citedBayesian local exchangeability design for phase II basket trials

11 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2021★ 11 cited

Bayesian local exchangeability design for phase II basket trials

Yilin Liu, Michael Kane, Denise Esserman +3

We propose an information borrowing strategy for the design and monitoring of phase II basket trials based on the local multisource exchangeability assumption between baskets (dise…

math.ST2018

The maximum negative hypergeometric distribution

Daniel Zelterman

An urn contains a known number of balls of two different colors. We describe the random variable counting the smallest number of draws needed in order to observe at least o…

stat.ME2018

Distributions associated with simultaneous multiple hypothesis testing

Chang Yu, Daniel Zelterman

We develop the distribution of the number of hypotheses found to be statistically significant using the rule from Benjamini and Hochberg (1995) for controlling the false discovery…

math.ST2015

A Stopped Negative Binomial Distribution

Michelle DeVeaux, Michael J. Kane, Daniel Zelterman

This paper introduces a new discrete distribution suggested by curtailed sampling rules common in early-stage clinical trials. We derive the distribution of the smallest number of…

q-bio.GN2013

A Spatial Simulation Approach to Account for Protein Structure When Identifying Non-Random Somatic Mutations

Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +4

Background: Current research suggests that a small set of "driver" mutations are responsible for tumorigenesis while a larger body of "passenger" mutations occurs in the tumor but…

stat.ME2013

A Two-Stage, Phase II Clinical Trial Design with Nested Criteria for Early Stopping and Efficacy

Daniel Zelterman

We propose a two-stage design for a clinical trial with an early stopping rule for safety. We use different criteria to assess early stopping and efficacy. The early stopping rule…

stat.ME2013

Markov counting models for correlated binary responses

Forrest W. Crawford, Daniel Zelterman

We propose a class of continuous-time Markov counting processes for analyzing correlated binary data and establish a correspondence between these models and sums of exchangeable Be…