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Junshui Ma

3 papers hereh-index 225.8k citations61 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV1
  • stat.AP1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedSelection Induced Contrast Estimate (SICE) Effect: An Attempt to Quantify the Impact of Some Patient Selection Criteria in Randomized Clinical Trials

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

collaborators

3 papers

stat.ME2020

A Nonparametric Method for Value Function Guided Subgroup Identification via Gradient Tree Boosting for Censored Survival Data

Pingye Zhang, Junshui Ma, Xinqun Chen +1

In randomized clinical trials with survival outcome, there has been an increasing interest in subgroup identification based on baseline genomic, proteomic markers or clinical chara…

eess.IV2020

A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials

Antong Chen, Jennifer Saouaf, Bo Zhou +6

Herein we propose a deep learning-based approach for the prediction of lung lesion response based on radiomic features extracted from clinical CT scans of patients in non-small cel…

stat.AP2020★ 1 cited

Selection Induced Contrast Estimate (SICE) Effect: An Attempt to Quantify the Impact of Some Patient Selection Criteria in Randomized Clinical Trials

Junshui Ma, Daniel J. Holder

Defining the Inclusion/Exclusion (I/E) criteria of a trial is one of the most important steps during a trial design. Increasingly complex I/E criteria potentially create informatio…

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