Description Usage Arguments Value
How much of the heterogeneity due to the outlier can be explained by alternative pathways?
1 | tryx.adjustment(tryxscan, id_remove = NULL)
|
tryxscan |
Output from |
id_remove |
List of IDs to exclude from the adjustment analysis. It is possible that in the outlier search a candidate trait will come up which is essentially just a surrogate for the outcome trait (e.g. if you are analysing coronary heart disease as the outcome then a variable related to heart disease medication might come up as a candidate trait). Adjusting for a trait which is essentially the same as the outcome will erroneously nullify the result, so visually inspect the candidate trait list and remove those that are inappropriate. |
data frame of adjusted effect estimates and heterogeneity stats
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