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

Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcome.

  • Read more about Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcome.

Marginal Structural Cox Models with Case-Cohort Sampling.

  • Read more about Marginal Structural Cox Models with Case-Cohort Sampling.

Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules.

  • Read more about Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules.

A Multi-state Model for Designing Clinical Trials for Testing Overall Survival Allowing for Crossover after Progression.

  • Read more about A Multi-state Model for Designing Clinical Trials for Testing Overall Survival Allowing for Crossover after Progression.

Time-dependent classification accuracy curve under marker-dependent sampling.

  • Read more about Time-dependent classification accuracy curve under marker-dependent sampling.

The rapid enrollment design for Phase I clinical trials.

  • Read more about The rapid enrollment design for Phase I clinical trials.

On variance estimate for covariate adjustment by propensity score analysis.

  • Read more about On variance estimate for covariate adjustment by propensity score analysis.

Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment.

  • Read more about Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment.

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.

  • Read more about Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.

Risk calculators are useful but...

  • Read more about Risk calculators are useful but...

Pagination

  • Previous page ‹‹
  • Page 11
  • Next page ››
Subscribe to Project 2.1
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