Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses

By Dan Jackson, Ian R. White, S. Thompson. Statistics in Medicine, 2009

585 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d49706b35701a3782fab72f2d60eca52d7b515e1

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Citations in the corpus

Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality—a systematic review and dose-response meta-analysis of prospective studies (2017, methodology): “A potential nonlinear dose-response relationship between fruit and vegetable intake and cardiovascular disease, cancer and mortality risks was assessed using restricted cubic splines with three knots at 10%, 50% and 90% percentiles of the distribution, which was combined using multivariate meta-anal”
Classroom Management Self-Efficacy and Burnout: A Multivariate Meta-analysis (2014, methodology): “neity of effect sizes can be written as (Becker 1992; Jackson et al. 2010)”
Multivariate meta-analysis: Potential and promise (2011, methodology): “It should be noted that multivariate meta-regression [73], where the underlying treatment effects depend on covariates, is a straightforward extension of multivariate meta-analysis [52] and analogous procedures to those described in Section 4.”
Circulating MicroRNAs as a Novel Class of Diagnostic Biomarkers in Gastrointestinal Tumors Detection: A Meta-Analysis Based on 42 Articles (2014, methodology): “10 for Q test or I(2) values $50% indicates substantial heterogeneity, and then the random-effects model was applied [32,33].”
Association of Cardiometabolic Multimorbidity With Mortality. (2015, unknown): “Systolic blood pressure, mean (SD), mm Hg 137 (19) 141 (17) 140 (19) 136 (19) 138 (19) 141 (19) 137 (20) 137 (18)”
Reducing and meta-analysing estimates from distributed lag non-linear models (2013, methodology): “Among alternative estimation methods, such as Bayesian [18] and multivariate extensions of the method of moments [19], we privilege here likelihoodbased approaches [20,21].”
Multivariate Meta-Analysis as Structural Equation Models (2013, methodology): “Becker (1992), Demidenko (2004), and Jackson, White, and Thompson (2010) used method of moment, whereas Becker and Schram (1994) applied an expectation-maximization (EM) algorithm.”
Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies (2014, methodology): “22 We estimated the pooled hazard ratios for servings of fruit and vegetables a day using a procedure to tabulate and plot results.”
Multivariate meta-analysis for non-linear and other multi-parameter associations (2012, unknown): “Different estimation methods have been proposed for random-effect multivariate meta-analysis: likelihood-based methods [9, 28], estimating equations [29], variants of iterative generalized least squares [8, 30], Bayesian approaches [31] and multivariate extensions of the method of moments [32].”
Physical activity and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis (2015, methodology): “We examined a potential nonlinear dose–response relationship between physical activity and type 2 diabetes by restricted cubic splines with 3 knots at 10, 50 and 90 % percentiles of the distribution which was combined using multivariate meta-analysis [98, 99].”
GetReal in network meta‐analysis: a review of the methodology (2016, methodology): “…the observed data (Franchini et al., 2012; Higgins and Whitehead, 1996), while for the between-study variance–covariance matrix Δ, one can use various ways of estimation including likelihood methods or the methods of moments (Berkey et al., 1998; Jackson et al., 2010; van Houwelingen et al., 2002).”