2 papers
stat.ME2023
Simulations for estimation of heterogeneity variance and overall effect with constant and inverse-variance weights in meta-analysis of difference in standardized means (DSM)
Elena Kulinskaya, David C. Hoaglin
When the individual studies assembled for a meta-analysis report means (, ) for their treatment (T) and control (C) arms, but those data are on different scales or come f…
stat.ME2022
Simulations for estimation of heterogeneity variance in constant and inverse variance weights meta-analysis of log-odds-ratios
Elena Kulinskaya, David C. Hoaglin
A number of popular estimators of the between-study variance, , are based on the Cochran's statistic for testing heterogeneity in meta analysis. We introduce new point and…