Main content
R programs for using the Q statistic with constant and inverse variance weights for binary effect measures
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: R programs to calculate two Q statistics, Q_{IV} (Cochran's Q with inverse-variance weights) and Q_F (Q statistic with effective sample size based weights) and the p-values of several tests for testing homogeneity of log-odds-ratios (LOR) , log-relative-risks (LRR) and risk differences (RD) in meta-analysis. See "Simulations for the Q statistic with constant and inverse variance weights for binary effect measures" by Elena Kulinskaya and David C. Hoaglin, 2022
Add important information, links, or images here to describe your project.
Citation
Recent Activity
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.