60 citations · 67 across the 14 of their papers we have counts for
3 papers · 2 filters
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…