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

Data for cancer comparative effectiveness research: past, present, and future potential.

  • Read more about Data for cancer comparative effectiveness research: past, present, and future potential.

Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation.

  • Read more about Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation.

Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes.

  • Read more about Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes.

Performance of rapid influenza H1N1 diagnostic tests: a meta-analysis.

  • Read more about Performance of rapid influenza H1N1 diagnostic tests: a meta-analysis.

Bivariate random effects models for meta-analysis of comparative studies with binary outcomes: methods for the absolute risk difference and relative risk.

  • Read more about Bivariate random effects models for meta-analysis of comparative studies with binary outcomes: methods for the absolute risk difference and relative risk.

Bivariate random effects meta-analysis of diagnostic studies using generalized linear mixed models.

  • Read more about Bivariate random effects meta-analysis of diagnostic studies using generalized linear mixed models.

Pagination

  • Previous page ‹‹
  • Page 11
Subscribe to Project 1.3
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