news:news2020

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- | ==== November 14th, 2020: An Aggregate Function ==== | + | ==== 2020-11-14: An Aggregate Function ==== |

- | In many meta-analyses,. You can read the documentation for this function (and see some examples illustrating its use) [[https://. | + | In many meta-analyses,[[https://rma.mv()]]''[[https://aggregate.escalc()]]''(see the documentation for some examples illustrating its use). |

- | ==== October 14th, 2020: Selection Models ==== | + | ==== 2020-10-14: Selection Models ==== |

I've added the possibility to fit so-called ' | I've added the possibility to fit so-called ' | ||

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The classical example of such a selection process is the fact that statistically significant findings are more likely to be submitted/ | The classical example of such a selection process is the fact that statistically significant findings are more likely to be submitted/ | ||

- | To make this possible directly within the metafor package, I've added the [[https:// | + | To make this possible directly within the metafor package, I've added the ''[[https://'' function, which provides a wide variety of selection model types (there are lots of proposals out there for how to model the selection process), including the 'beta selection model' by Citkowicz and Vevea (2017), a bunch of selection models suggested by Preston et al. (2004), an extension thereof that I call the ' |

Note that the [[https:// | Note that the [[https:// | ||

- | ==== August 9th, 2020: R Code for Even More Meta-Analysis Books ==== | + | ==== 2020-04-09: R Code for Even More Meta-Analysis Books ==== |

The R code for two more books has been added to the [[https:// | The R code for two more books has been added to the [[https:// | ||

- | ==== July 17th, 2020: R Code for Meta-Analysis Books ==== | + | ==== 2020-07-17: R Code for Meta-Analysis Books ==== |

I've started a [[https:// | I've started a [[https:// | ||

- | ==== June 8th, 2020: Weights in Models Fitted with the rma.mv() Function ==== | + | ==== 2020-06-08: Weights in Models Fitted with the rma.mv() Function ==== |

- | And another entry to the 'Tips and Notes' section, this time discussing how weighting works in more complex models, such as those that can be fitted with the '' | + | And another entry to the 'Tips and Notes' section, this time discussing how weighting works in more complex models, such as those that can be fitted with the ''[[https://rma.mv()]]'' |

- | ==== May 27th, 2020: Computing Adjusted Effects Based on Meta-Regression Models ==== | + | ==== 2020-05-27: Computing Adjusted Effects Based on Meta-Regression Models ==== |

I've added an entry to the 'Tips and Notes' section, discussing how to compute ' | I've added an entry to the 'Tips and Notes' section, discussing how to compute ' | ||

- | ==== May 9th, 2020: Modeling Non-Linear Associations in Meta-Regression ==== | + | ==== 2020-05-09: Modeling Non-Linear Associations in Meta-Regression ==== |

I've added an entry to the 'Tips and Notes' section, illustrating how to model non-linear associations in meta-regression using polynomial and restricted cubic spline models. You can read the little tutorial [[tips: | I've added an entry to the 'Tips and Notes' section, illustrating how to model non-linear associations in meta-regression using polynomial and restricted cubic spline models. You can read the little tutorial [[tips: | ||

- | ==== March 31st, 2020: Interpreting Coefficients in Meta-Regression Models with (Log) Risk Ratios ==== | + | ==== 2020-03-31: Interpreting Coefficients in Meta-Regression Models with (Log) Risk Ratios ==== |

Based on a question I received, I wrote up a little tutorial on how to interpret the coefficients in meta-regression models when using the log risk ratio as the outcome measure. When exponentiating coefficients, | Based on a question I received, I wrote up a little tutorial on how to interpret the coefficients in meta-regression models when using the log risk ratio as the outcome measure. When exponentiating coefficients, | ||

- | ==== March 20th, 2020: Two New Functions for Network Meta-Analysis ==== | + | ==== 2020-03-20: Two New Functions for Network Meta-Analysis ==== |

- | As a follow-up to yesterday'. Two examples illustrating the use of this function can be found under [[https://). Once the dataset is in such a wide format, an important next step is the construction of variables that reflect which two groups are being compared with each other in each row (through +1, 0, -1 coding). Such a contrast matrix can be easily created with the ''contrmat()''[[https://help(contrmat)]] for the help file and two examples illustrating its use. The analysis of these two datasets (using arm- and contrast-based models) are illustrated under [[https://metafor/hasselblad1998.html|help(dat.hasselblad1998)]] and [[https://metafor/help(dat.hasselblad1998)]]. | + | As a follow-up to yesterday'[[https://to.wide()]]''(see the documentation for examples illustrating the use of this function). Once the dataset is in such a wide format, an important next step is the construction of variables that reflect which two groups are being compared with each other in each row (through +1, 0, -1 coding). Such a contrast matrix can be easily created with the ''()]]''for examples illustrating its use). The datasets ''[[https://metadat/senn2013.html|dat.senn2013]]'' and ''[[https://metadat/''. |

- | ==== March 19th, 2020: News Version (2.4-0) on Its Way to CRAN ==== | + | ==== 2020-03-19: New Version (2.4-0) on Its Way to CRAN ==== |

Just submitted a new version (2.4-0) to CRAN. This update was prompted by the upcoming change in R where the new default will be '' | Just submitted a new version (2.4-0) to CRAN. This update was prompted by the upcoming change in R where the new default will be '' | ||

news/news2020.1619348046.txt.gz ยท Last modified: 2021/04/25 10:54 by Wolfgang Viechtbauer

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