Lies Declercq
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Visual representations of meta-analyses of multiple outcomes: Extensions to forest plots, funnel plots, and caterpillar plots Open
Meta-analytic datasets can be large, especially when in primary studies multiple effect sizes are reported. The visualization of meta-analytic data is therefore useful to summarize data and understand information reported in primary studie…
Multilevel Meta-Analysis of Individual Participant Data of Single-Case Experimental Designs: One-Stage versus Two-Stage Methods Open
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 multilevel model is estimated based …
Supplementary materials [Code] to: Visual representations of meta-analyses of multiple outcomes: Extensions to forest plots, funnel plots, and caterpillar plots Open
Supplementary materials [Code] to: Fernández-Castilla, B., Declercq, L., Jamshidi, L., Beretvas, S. N., Onghena, P., & Van den Noortgate, W. (2020). Visual representations of meta-analyses of multiple outcomes: Extensions to forest plots, …
Avoid or engage? Outcomes of graded exposure in youth with chronic pain using a sequential replicated single-case randomized design Open
Pain-related fear is typically associated with avoidance behavior and pain-related disability in youth with chronic pain. Youth with elevated pain-related fear have attenuated treatment responses; thus, targeted treatment is highly warrant…
Bias Adjustment in Multilevel Meta-Analysis of Standardized Single-Case Experimental Data Open
sponsorship: This project was supported in part by the Institute of Education Sciences, U.S. Department of Education, under Grant R305D150007. For the simulation, we used equipment at the VSC-Flemish Supercomputer Center, funded by the Her…
Multilevel meta-analysis of complex single-case designs: Rawdata versus effect sizes Open
Background: In a single-case experimental design (SCED), a dependent variable is manipulated and repeatedly measured within a single subject or unit, to verify the effect of the manipulations (‘treatments’) on that variable (Onghena & Edgi…
Detecting Selection Bias in Meta-Analyses with Multiple Outcomes: A Simulation Study Open
© 2019, © 2019 Taylor & Francis Group, LLC. This study explores the performance of classical methods for detecting publication bias—namely, Egger’s regression test, Funnel Plot test, Begg’s Rank Correlation and Trim and Fill method—in meta…
The Application of Meta-Analytic Models with Multiple Random Effects: A Systematic Review Open
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, but additional random effects can be adde…