2 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Simulation study of estimating between-study variance and overall effect in meta-analyses of mean difference
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…
Simulation study of estimating between-study variance and overall effect in meta-analysis of standardized mean difference
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…
Simulation study of estimating between-study variance and overall effect in meta-analysis of odds-ratios
Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
Random-effects meta-analysis requires an estimate of the between-study variance, . We study methods of estimation of and its confidence interval in meta-analysis of odds…