features
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features [2021/06/09 14:32] – [Models and Analysis Approaches] Wolfgang Viechtbauer | features [2021/11/05 07:10] – [Models and Analysis Approaches] Wolfgang Viechtbauer | ||
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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, | ||
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==== 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.txt · Last modified: 2023/09/05 16:43 by Wolfgang Viechtbauer