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features [2021/06/09 14:32] – [Models and Analysis Approaches] Wolfgang Viechtbauer | features [2023/09/05 16:43] (current) – [Publication Bias] Wolfgang Viechtbauer | ||
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==== Calculation of Effect Sizes and Outcome Measures ==== | ==== Calculation of Effect Sizes and Outcome Measures ==== | ||
- | The package allows the user to calculate various effect sizes and outcome measures frequently used in meta-analyses ('' | + | The package allows the user to calculate various effect sizes and outcome measures frequently used in meta-analyses ('' |
* risk differences, | * risk differences, | ||
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* raw and standardized mean differences and response ratios (ratios of means), | * raw and standardized mean differences and response ratios (ratios of means), | ||
* raw and Fisher' | * raw and Fisher' | ||
+ | * point-biserial and biserial correlation coefficients, | ||
* raw, log, logit, arcsine, and Freeman-Tukey double arcsine transformed proportions, | * raw, log, logit, arcsine, and Freeman-Tukey double arcsine transformed proportions, | ||
* raw, log, and square-root transformed incidence rates, | * raw, log, and square-root transformed incidence rates, | ||
* raw means, mean changes, and standardized mean changes, | * raw means, mean changes, and standardized mean changes, | ||
- | * raw and transformed Cronbach' | + | |
+ | | ||
+ | * partial and semi-partial correlation coefficients. | ||
+ | |||
+ | For raw and Fisher' | ||
==== Models and Analysis Approaches ==== | ==== Models and Analysis Approaches ==== | ||
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The package provides a variety of models and analysis approaches, including: | The package provides a variety of models and analysis approaches, including: | ||
- | * fixed-, random-, and mixed-effects models using the inverse-variance method ('' | + | * equal/fixed/random-effects models using the inverse-variance method ('' |
- | * the Mantel-Haenszel and Peto's (one-step) method for 2×2 table and two-group person-time data ('' | + | * the Mantel-Haenszel and Peto's (one-step) method for 2×2 table and two-group person-time data ('' |
- | * generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models) for the analysis of 2×2 table data, two-group person-time data, proportions, | + | * generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models) for the analysis of 2×2 table data, two-group person-time data, proportions, |
- | * models for multilevel and multivariate meta-analyses ('' | + | * models for multilevel and multivariate meta-analyses ('' |
- | * models for network meta-analyses and mixed treatment comparisons ('' | + | * models for network meta-analyses and mixed treatment comparisons ('' |
- | * models for phylogenetic meta-analyses ('' | + | * models for phylogenetic meta-analyses ('' |
- | * spatio-temporal meta-analytic models ('' | + | * spatio-temporal meta-analytic models ('' |
* subgrouping and (mixed-effects) meta-regression analyses, | * subgrouping and (mixed-effects) meta-regression analyses, | ||
- | * location-scale models ('' | + | * location-scale models ('' |
* models with user-defined weights. | * models with user-defined weights. | ||
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The package provides functions for creating a variety of meta-analytic plots and figures, including: | The package provides functions for creating a variety of meta-analytic plots and figures, including: | ||
- | * funnel | + | * forest |
- | * forest | + | * funnel |
- | * scatter plots / bubble plots ('' | + | * scatter plots / bubble plots ('' |
- | * Baujat plots ('' | + | * Baujat plots ('' |
- | * L' | + | * L' |
- | * radial (Galbraith) plots ('' | + | * radial (Galbraith) plots ('' |
- | * GOSH plots ('' | + | * GOSH plots ('' |
- | * profile likelihood plots ('' | + | * profile likelihood plots ('' |
- | * normal quantile-quantile (QQ) plots ('' | + | * normal quantile-quantile (QQ) plots ('' |
R itself also provides extensive and very flexible graphing and plotting capabilities that can be easily adapted to create further plots and figures. | R itself also provides extensive and very flexible graphing and plotting capabilities that can be easily adapted to create further plots and figures. | ||
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The presence of publication bias (or more accurately, funnel plot asymmetry or " | The presence of publication bias (or more accurately, funnel plot asymmetry or " | ||
- | * the rank correlation test ('' | + | * the rank correlation test ('' |
- | * Egger' | + | * Egger' |
- | * the trim and fill method ('' | + | * the trim and fill method ('' |
- | * the Henmi and Copas approach ('' | + | * the Henmi and Copas approach ('' |
- | * a file drawer analysis | + | * file drawer analysis |
- | * the test of excess significance ('' | + | * the test of excess significance ('' |
- | * selection models ('' | + | * selection models ('' |
==== Inference Methods ==== | ==== Inference Methods ==== | ||
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The package provides standard and advanced methods for drawing inferences based on meta-analytic data and for assessing the model fit, including: | The package provides standard and advanced methods for drawing inferences based on meta-analytic data and for assessing the model fit, including: | ||
- | * likelihood ratio and Wald-type tests ('' | + | * likelihood ratio and Wald-type tests ('' |
- | * confidence intervals for heterogeneity statistics ('' | + | |
- | * permutation tests ('' | + | |
- | * (cluster) robust tests and confidence intervals ('' | + | |
- | * cumulative meta-analysis ('' | + | |
- | * fitted and predicted outcomes ('' | + | |
- | * best linear unbiased predictions ('' | + | |
* improved tests/ | * improved tests/ | ||
- | * model fit criteria ('' | + | |
- | * information criteria ('' | + | * cluster-robust inference methods / robust variance estimation ('' |
- | * simulation of data from a fitted model ('' | + | * permutation tests ('' |
+ | * cumulative meta-analysis ('' | ||
+ | * fitted and predicted outcomes ('' | ||
+ | * best linear unbiased predictions ('' | ||
+ | | ||
+ | * information criteria ('' | ||
+ | * simulation of data from a fitted model ('' | ||
- | The package is also compatible with the [[https:// | + | The package is also compatible with the [[https:// |
==== Outlier/ | ==== Outlier/ | ||
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Various methods are available to identify outliers and/or influential studies, and for conducting sensitivity analyses, including: | Various methods are available to identify outliers and/or influential studies, and for conducting sensitivity analyses, including: | ||
- | * raw/ | + | * raw/ |
- | * DFFITS values, Cook's distances, covariance ratios, and DFBETAS values ('' | + | * DFFITS values, Cook's distances, covariance ratios, and DFBETAS values ('' |
- | * model weights and hat values ('' | + | * model weights and hat values ('' |
- | * leave-one-out analyses ('' | + | * leave-one-out analyses ('' |
==== Datasets ==== | ==== Datasets ==== | ||
- | The package also includes over 50 datasets from published meta-analyses that can be used for teaching and illustration purposes. | + | The package also includes over 60 datasets from published meta-analyses that can be used for teaching and illustration purposes |
==== Notes ==== | ==== Notes ==== |
features.1623249167.txt.gz · Last modified: 2021/06/09 14:32 by Wolfgang Viechtbauer