Skip to main content
Site logo
Main Menu

Main navigation

  • Home ▼
    • About
    • Investigators
    • Research Staff
    • Students
  • Committees ▼
    • Executive Committee
    • Steering Committee
    • External Advisory Board
  • Projects ▼
    • Innovative Biomarker-Integrated ...
    • Methods for Discovery ...
    • Methods for Missing ...
    • Methods for Post Marketing ...
    • Statistical / Computational Methods ...
    • Statistical Methods for Biomarkers ...
  • Publications ▼
    • Articles By Keyword
    • Articles By Year
    • Search Articles
    • Software
  • Events ▼
    • Symposium 2011
    • Symposium 2012
    • Symposium 2014
    • Symposium 2016

User account menu

  • Log in
Banner Image

Q-Learning.

  • Read more about Q-Learning.

Nonconvex Optimization.

  • Read more about Nonconvex Optimization.

Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens.

  • Read more about Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens.

Discussion of Laber et al. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease".

  • Read more about Discussion of Laber et al. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease".

Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods.

  • Read more about Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods.

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES.

  • Read more about HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES.

ON ESTIMATION OF THE OPTIMAL TREATMENT REGIME WITH THE ADDITIVE HAZARDS MODEL.

  • Read more about ON ESTIMATION OF THE OPTIMAL TREATMENT REGIME WITH THE ADDITIVE HAZARDS MODEL.

Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

  • Read more about Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach.

  • Read more about Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach.

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

  • Read more about Tree based weighted learning for estimating individualized treatment rules with censored data.

Pagination

  • Previous page ‹‹
  • Page 4
  • Next page ››
Subscribe to Project 2.4
Site logo
impact10 logo

HOME

  • Investigators
  • Research Staff
  • Students

COMMITTEES

  • Executive
  • Steering
  • External Advisory Board

PUBLICATIONS

  • Articles By Year
  • Articles By Keyword
  • Search Articles
  • Software

Internal Login/New User Sign-Up

Accessibility

university logos

Powered by the Collaborative Studies Coordinating Center.
© 2023