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pro vyhledávání: '"Hoaglin, David C"'
Autor:
Kulinskaya, Elena, Hoaglin, David C.
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 components for the random effects. We introduce new moment-based point and in
Externí odkaz:
http://arxiv.org/abs/2411.00795
Autor:
Kulinskaya, Elena, Hoaglin, David C.
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. However, a number of applications focus on the absolute values of th
Externí odkaz:
http://arxiv.org/abs/2310.00126
Autor:
Kulinskaya, Elena, Hoaglin, David C.
When the individual studies assembled for a meta-analysis report means ($\mu_C$, $\mu_T$) for their treatment (T) and control (C) arms, but those data are on different scales or come from different instruments, the customary measure of effect is the
Externí odkaz:
http://arxiv.org/abs/2304.07385
Autor:
Mitra, Avijit, Pradhan, Richeek, Melamed, Rachel D, Chen, Kun, Hoaglin, David C, Tucker, Katherine L, Reisman, Joel I, Yang, Zhichao, Liu, Weisong, Tsai, Jack, Yu, Hong
Importance: Social determinants of health (SDOH) are known to be associated with increased risk of suicidal behaviors, but few studies utilized SDOH from unstructured electronic health record (EHR) notes. Objective: To investigate associations betwee
Externí odkaz:
http://arxiv.org/abs/2212.05546
Autor:
Kulinskaya, Elena, Hoaglin, David C.
A number of popular estimators of the between-study variance, $\tau^2$, are based on the Cochran's $Q$ statistic for testing heterogeneity in meta analysis. We introduce new point and interval estimators of $\tau^2$ for log-odds-ratio. These include
Externí odkaz:
http://arxiv.org/abs/2208.00707
Autor:
Kulinskaya, Elena, Hoaglin, David C.
Cochran's $Q$ statistic is routinely used for testing heterogeneity in meta-analysis. Its expected value (under an incorrect null distribution) is part of several popular estimators of the between-study variance, $\tau^2$. Those applications generall
Externí odkaz:
http://arxiv.org/abs/2206.08907
Publikováno v:
In Multiple Sclerosis and Related Disorders April 2024 84
Cochran's $Q$ statistic is routinely used for testing heterogeneity in meta-analysis. Its expected value is also used for estimation of between-study variance $\tau^2$. Cochran's $Q$, or $Q_{IV}$, uses estimated inverse-variance weights which makes a
Externí odkaz:
http://arxiv.org/abs/2103.03272
A variety of problems in random-effects meta-analysis arise from the conventional $Q$ statistic, which uses estimated inverse-variance (IV) weights. In previous work on standardized mean difference and log-odds-ratio, we found superior performance wi
Externí odkaz:
http://arxiv.org/abs/2010.11009
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-odds-ratios, we consider five generation mechanisms for control probabili
Externí odkaz:
http://arxiv.org/abs/2007.05354