15 citations · 23 across the 17 of their papers we have counts for
17 papers
Point and interval estimators of a changepoint in stochastical dominance between two distributions
Elena Kulinskaya, David C. Hoaglin
For differences between means of continuous data from independent groups, the customary scale-free measure of effect is the standardized mean difference (SMD). To justify use of SM…
Simulations for estimation of random effects and overall effect in three-level meta-analysis of standardized mean differences using constant and inverse-variance weights
Elena Kulinskaya, David C. Hoaglin
We consider a three-level meta-analysis of standardized mean differences. The standard method of estimation uses inverse-variance weights and REML/PL estimation of variance compone…
Simulations for Meta-analysis of Magnitude Measures
Elena Kulinskaya, David C. Hoaglin
Meta-analysis aims to combine effect measures from several studies. For continuous outcomes, the most popular effect measures use simple or standardized differences in sample means…
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…
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…
A simulation study of the estimation quality in the double-Cox model with shared frailty for non-proportional hazards survival analysis
Alexander Begun, Elena Kulinskaya
The Cox regression, a semi-parametric method of survival analysis, is extremely popular in biomedical applications. The proportional hazards assumption is a key requirement in the…