# E Corrections & Remarks

Last updated: 24 February, 2024.

## Chapter 3.3.3

In the imaginary experiment in Figure 3.4, four participants experience the event during the 10-year observation period. In the calculation example, however, we use \(E=3\) to calculate the incidence rate. In the online version, we have now corrected this so that \(E=4\), like in the experiment.

## Chapter 4.2

A new version of **{meta}** (version 5.0-0) has recently been released. We adapted the code in this chapter accordingly to avoid deprecation messages:

The

`comb.fixed`

and`comb.random`

arguments are now called`fixed`

and`random`

, respectively.To print all studies, one now has to use

`summary`

method for**{meta}**meta-analysis objects.

In the latest version of **{meta}** (version 7.0-0), calls to `update.meta`

now need to be replaced with `update`

. If `meta`

models have been fitted using the deprecated `hakn`

argument, `update`

will now produce an error message. We have therefore changed this to the new `method.random.ci`

argument throughout the guide. This applies to all meta-analysis functions, e.g., `metagen`

, `metabin`

, `metacor`

, etc.

## Chapter 7.3

A new version of **{meta}** (version 5.0-0) has recently been released. We adapted the code in this chapter accordingly to avoid deprecation messages:

The

`byvar`

argument is now called`subgroup`

.To print all studies, one now has to use

`summary`

method for**{meta}**meta-analysis objects.

## Chapter 12.2.1

The print version contains a factual error concerning the definition of full rank in non-square (rectangular) matrices. It is stated that a â€śmatrix is not of full rank when its rows are not all independentâ€ť. This, however, only applies to square matrices and non-square matrices with less rows than columns (\(m < n\)). In our example, there are more rows than columns; this means that \(\boldsymbol{X}\) is not full rank because its **columns** are not all independent (in \(m > n\) matrices, rows are always linearly dependent). This erratum has been corrected in the online version.

## Chapter 12.2.2

A new version of **{netmeta}** (version 2.0-0) has recently been released. We adapted the code in this chapter accordingly to avoid error messages:

- The latest version of
**{netmeta}**resulted in non-convergence of the Fisher scoring algorithm implemented in`rma.mv`

. This problem pertains to all versions of**{dmetar}**installed before 24-Oct-2021. To avoid the issue, simply reinstall the lastest version of**{dmetar}**.