Meta-regression analyses for moderator variables
Are the effects of blood pressure lowering treatment diminishing?: meta-regression analyses
... The Brunström and Carlberg paper identified previous systematic reviews on the effect of blood pressure lower- ing from PubMed, the Cochrane Database of Systematic Reviews, and the Database of Abstracts of Reviews of Ef- ...
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A modified regression method to test publication bias in meta-analyses with binary outcomes
... plot regression [11], Harbord’s score test [14], Peters’ test [12,17], and Rucker’s arcsine transformed tests [15]) is a reduction in the intrinsic asso- ciation between the estimated effect size and its estimated ...
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Standardizing effect size from linear regression models with log-transformed variables for meta-analysis
... linear regression techniques to estimate the effect were in- cluded in a ...independent meta- analyses were performed as per the metallic element studied and the sample type: arsenic in urine (five ...
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A Framework for Analyses with Numeric and Categorical Dependent Variables. An Exercise in Using GLM. Analyses with Categorical Dependent Variables
... Numeric Variables as Predictors If your dependent variable is categorical, and the predictor is a numeric variable, you could use logistic regression for an ...two variables by reversing the analysis ...
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Systematic Reviews and Meta-analyses
... • For a binary outcome variable, the measured effect usually is expressed as the logarithm of the estimated odds ratio from logistic regression. The weight is expressed as the inverse of the variance of the ...
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The effect of publication bias in meta-regression and Meta-CART
... of meta-analytic results is publication ...fixed-effect meta-analysis and the correction method ‘p-uniform’ 2) to investigate the influence of publication bias on the results of ...
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Improved dietary guidelines for vitamin D: application of individual participant data (IPD)-level meta-regression analyses
... IPD meta-regression using individual subject data from selected winter-time RCTs of the vitamin D intake–serum 25(OH)D dose-response is a superior approach in the determination of recommendations for ...
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Estimation in meta-analyses of response ratios
... Our simulations show this clearly. It is well known that the distribution of a ratio of nor- mal random variables X /Y is, in general, heavy-tailed and has no moments. It can be approximated by a normal dis- ...
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Glossary for systematic reviews and meta-analyses
... as a type of bias, because is not an error, as it is related to the fact that diseases have many causes, some of which are unknown. Bias leads to the lack of validity of the results reported in a study (Delgado-Rodriguez ...
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FROM PAIRWISE TO NETWORK META-ANALYSES
... BSTRACT Meta-analyses have been used for several years to pool data from clinical trials and generate estimates of treatment effect associated with a therapeutic intervention in relation to a ...network ...
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Evaluating heterogeneity in cumulative meta-analyses
... of meta-analyses – the suite of statistical techniques used to arrive at pooled estimates of effects across a series of stud- ies (often but not always) during the course of a system- atic review – have ...
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Regression Analyses of Xiamen’s Manufacturing Sector, China
... shows variables of interest such as LSR and number of companies (as rough indicator of market structure) for each category, year 2015 was chosen as it is most recent, actual data point (for other relevant data see ...
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Ridge Regression Learning Algorithm in Dual Variables
... The ANOVA decomposition kernels are inspired by their namesake in statistics, which analyses different subsets of variables. The actual decomposition can be adapted to form kernels (as in, e.g., Vapnik ...
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Six Essays on Meta-Regression Analysis
... a meta-meta analysis (meta-regression analysis of meta-analyses), Doucouliagos & Stanley (2008) show that theory competition is crucial for the resulting empirical ...
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Spurious Regression and Trending Variables
... spurious regression phenomenon is not a problem in finite ...spurious regression phenomenon is present even for samples as small as ...nonsense regression is more likely when the number of structural ...
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Semiparametric Regression with Errors in Variables
... Measurement error in predictors causes loss of information and biases and even misleading conclusions for inference.. Three main eects of measurement error are:.[r] ...
Instrumental Variables and Regression Discontinuity
... Instrumental Variables (without additional covariates) The issue is that, while this is true in population moments, when we replace these equations with their sample analogs (means instead of expectations) in ...
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Understanding and interpreting meta analyses
... da, meta analize alınan her bir çalışmanın birleştirilmiş meta analiz sonucuna verdiği katkı, başka bir ifade ile birleştirilmiş sonuçtaki ağırlığı olarak ...çalışmanın meta analiz sonucuna en çok ...
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Regression Analyses of Income Inequality Indices
... Johan Fellman Hanken School of Economics, Helsinki, Finland Abstract Scientists have analysed different methods for numerical estimation of Gini coefficients. Using Lorenz curves, various numerical integration attempts ...
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On the Nuisance of Control Variables in Regression Analysis
... control variables is common however in empir- ical ...“control variables have expected signs" or “it is worth noting the results of our control ...parametric regression models also explicitly ...
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