2 citations · 5 across the 8 of their papers we have counts for
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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…
Simulation study of Q statistic with constant weights for testing and estimation of heterogeneity of standardized mean differences in meta-analysis
Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
Cochran's statistic is routinely used for testing heterogeneity in meta-analysis. Its expected value is also used for estimation of between-study variance . Cochran's ,…
Simulations for a Q statistic with constant weights to assess heterogeneity in meta-analysis of mean difference
Elena Kulinskaya, David C. Hoaglin, Joseph Newman +1
A variety of problems in random-effects meta-analysis arise from the conventional statistic, which uses estimated inverse-variance (IV) weights. In previous work on standardize…
Exploring Consequences of Simulation Design for Apparent Performance of Statistical Methods. 2: Results from simulations with normally and uniformly distributed sample sizes
Elena Kulinskaya, David C. Hoaglin, Ilyas Bakbergenuly
This report continues our investigation of effects a simulation design may have on the conclusions on performance of statistical methods. In the context of meta-analysis of log-odd…
Exploring Consequences of Simulation Design for Apparent Performance of Statistical Methods. 1: Results from simulations with constant sample sizes
Elena Kulinskaya, David C. Hoaglin, Ilyas Bakbergenuly
Contemporary statistical publications rely on simulation to evaluate performance of new methods and compare them with established methods. In the context of meta-analysis of log-od…
Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for lognormal data
Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
Methods for random-effects meta-analysis require an estimate of the between-study variance, . The performance of estimators of (measured by bias and coverage) affects th…