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researcher

R. Strawderman

5 papers hereh-index 327.5k citations107 works total

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

author position
  • middle author2
  • last author3

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

fields
  • stat.ME4
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedRegression Trees for Cumulative Incidence Functions

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2025

A structural nested rate model for estimating the effects of time-varying exposure on recurrent event outcomes in the presence of death

Daniel Mork, Robert L. Strawderman, Michelle Audirac +2

Assessing the causal effect of time-varying exposures on recurrent event processes is challenging in the presence of a terminating event. Our objective is to estimate both the shor…

stat.ME2021

Regression Trees and Ensembles for Cumulative Incidence Functions

Youngjoo Cho, Annette M. Molinaro, Chen Hu +1

The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past decade. The probl…

stat.ME2020★ 1 cited

Regression Trees for Cumulative Incidence Functions

Youngjoo Cho, Annette M. Molinaro, Chen Hu +1

The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past decade. The probl…

stat.ME2020

Robust Q-learning

Ashkan Ertefaie, James R. McKay, David Oslin +1

Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy. Finite dimensional working models are typically…

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