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researcher

M. Kosorok

47 papers hereh-index 457.7k citations229 works total

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

author position
  • sole author2
  • first author3
  • middle author9
  • last author31

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • stat.ME17
  • math.ST16
  • stat.ML9
  • q-bio.GN2
  • stat.AP2
  • cs.CL1
same name
  • M. Kosorok — 13 papers, h 7
  • M. Kosorok — 4 papers, h 23
  • M. Kosorok — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20042026
most citedQ-learning with censored data

119 citations · 603 across the 42 of their papers we have counts for

collaborators
Showing 2017 · stat.MEShow all

4 papers · 2 filters

stat.ME2017★ 9 cited

Augmented Outcome-weighted Learning for Optimal Treatment Regimes

Xin Zhou, Michael R. Kosorok

Precision medicine is of considerable interest in clinical, academic and regulatory parties. The key to precision medicine is the optimal treatment regime. Recently, Zhou et al. (2…

stat.ME2017★ 5 cited

Tree based weighted learning for estimating individualized treatment rules with censored data

Yifan Cui, Ruoqing Zhu, Michael Kosorok

Estimating individualized treatment rules is a central task for personalized medicine. [zhao2012estimating] and [zhang2012robust] proposed outcome weighted learning to estimate ind…

stat.ME2017★ 2 cited

Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction

Jingxiang Chen, Chong Zhang, Michael R. Kosorok +1

Learning with Reproducing Kernel Hilbert Spaces (RKHS) has been widely used in many scientific disciplines. Because a RKHS can be very flexible, it is common to impose a regulariza…

stat.ME2017★ 1 cited

Estimating Individualized Treatment Rules for Ordinal Treatments

Jingxiang Chen, Haoda Fu, Xuanyao He +2

Precision medicine is an emerging scientific topic for disease treatment and prevention that takes into account individual patient characteristics. It is an important direction for…

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