S Natasha Beretvas
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Explore the profile of S Natasha Beretvas including associated specialties, affiliations and a list of published articles.
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46
Citations
390
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Recent Articles
1.
Lee J, Beretvas S
Res Synth Methods
. 2022 Oct;
14(1):140-142.
PMID: 36181687
The current paper responds to the commentary on the article (doi:10.1002/jrsm.1605). We discuss our perspectives on the missing data mechanisms and models assumed and used in our simulation study while...
2.
Lee J, Beretvas S
Res Synth Methods
. 2022 Jul;
14(1):117-136.
PMID: 35796095
Meta-analysts often encounter missing covariate values when estimating meta-regression models. In practice, ad hoc approaches involving data deletion have been widely used. The current study investigates the performance of different...
3.
Joshi M, Pustejovsky J, Beretvas S
Res Synth Methods
. 2022 Feb;
13(4):457-477.
PMID: 35218309
The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews...
4.
Bhat B, Beretvas S
Multivariate Behav Res
. 2022 Jan;
57(1):156.
PMID: 34995149
No abstract available.
5.
Declercq L, Jamshidi L, Fernandez Castilla B, Moeyaert M, Beretvas S, Ferron J, et al.
Multivariate Behav Res
. 2020 Sep;
57(2-3):298-317.
PMID: 32996335
To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a...
6.
Fernandez-Castilla B, Aloe A, Declercq L, Jamshidi L, Beretvas S, Onghena P, et al.
Behav Res Methods
. 2020 Aug;
53(2):702-717.
PMID: 32808180
In meta-analysis, primary studies often include multiple, dependent effect sizes. Several methods address this dependency, such as the multivariate approach, three-level models, and the robust variance estimation (RVE) method. As...
7.
Fernandez-Castilla B, Jamshidi L, Declercq L, Beretvas S, Onghena P, Van Den Noortgate W
Behav Res Methods
. 2020 Mar;
52(5):2031-2052.
PMID: 32162276
In meta-analysis, study participants are nested within studies, leading to a multilevel data structure. The traditional random effects model can be considered as a model with a random study effect,...
8.
Jamshidi L, Declercq L, Fernandez-Castilla B, Ferron J, Moeyaert M, Beretvas S, et al.
Behav Res Methods
. 2020 Mar;
52(5):2008-2019.
PMID: 32144730
The focus of the current study is on handling the dependence among multiple regression coefficients representing the treatment effects when meta-analyzing data from single-case experimental studies. We compare the results...
9.
Park S, Beretvas S
Behav Res Methods
. 2019 Dec;
52(3):1254-1270.
PMID: 31848882
In the present study, we focused on models that handle several data structure complexities simultaneously. We introduced and evaluated the multivariate multiple-membership random-effect model (MV-MMREM) for handling multiple-membership data in...
10.
Lee J, Beretvas S
Multivariate Behav Res
. 2019 Dec;
55(1):149.
PMID: 31809593
No abstract available.