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Triangulating Instrumental Variable, confounder adjustment and difference-in-difference methods for comparative effectiveness research in observational data

2025-08-19

Abstract excerpt

<h4>Background: </h4> Observational studies play an important role in assessing the comparative effectiveness of competing treatments. In clinical trials the randomization of participants to treatment and control groups generally results in balanced groups with respect to possible confounders, which makes the analysis straightforward. However, when analysing observational data, the potential for unmeasured confoun...

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Literature Corpus work
adc0cdce-c19d-54b4-a76a-5198d9e4312a
DOI
10.12688/wellcomeopenres.22955.2
Open publication

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Triangulating Instrumental Variable, confounder adjustment and difference-in-difference methods for comparative effectiveness research in observational dataDOI 10.12688/wellcomeopenres.22955.2
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