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Joseph S. Koopmeiners

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • stat.AP2
ORCID 0000-0001-6147-3168

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedBayesian Spatial Models for Voxel-wise Prostate Cancer Classification Using Multi-parametric MRI Data

1 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing stat.MEShow all

3 papers · 1 filter

stat.ME2023

Group LASSO Variable Selection Method for Treatment Effect Generalization

Chuyu Deng, Brandon Koch, David M. Vock +1

Often in public health, we are interested in the treatment effect of an intervention on a population that is systemically different from the experimental population the interventio…

stat.ME2023★ 1 cited

Estimating Longitudinal Causal Effects with Unobserved Noncompliance Using a Semi-Parametric G-computation Algorithm

Ross L Peterson, David M Vock, Joseph S Koopmeiners

Participant noncompliance, in which participants do not follow their assigned treatment protocol, often obscures the causal relationship between treatment and treatment effect in r…

stat.ME2014

The Randomized CRM: An Approach to Overcoming the Long-Memory Property of the CRM

Joseph S. Koopmeiners, Andrew Wey

The primary object of a phase I clinical trial is to determine the maximum tolerated dose (MTD). Typically, the MTD is identified using a dose-escalation study, where initial subje…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.