Built-in selection or confounder bias? Dynamic Landmarking in matched propensity score analyses

Dynamic Landmarking is a useful post-hoc diagnosis tool for visualizing whether an estimated hazard ratio could be distorted by confounding or built-in selection bias.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2024-12-21
DOI
https://doi.org/10.1186/s12874-024-02444-7
Citations
1
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.71
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article

Built-in selection or confounder bias? Dynamic Landmarking in matched propensity score analyses

Jan Fritz Gummert, Andreas Wienke, Alexandra Strobel, Sabine Bleiziffer et al.
1 citations
BMC Medical Research Methodology
Advanced Causal Inference Techniques
0.71
article

Built-in selection or confounder bias? Dynamic Landmarking in matched propensity score analyses

Jan Fritz Gummert, Andreas Wienke, Alexandra Strobel, Sabine Bleiziffer, Oliver Kuß
article en
1 citations

Abstract

Dynamic Landmarking is a useful post-hoc diagnosis tool for visualizing whether an estimated hazard ratio could be distorted by confounding or built-in selection bias.

BMC Medical Research MethodologyVol. 24(1)
Heart and Diabetes Center North Rhine-Westphalia (DE), Deutsches Diabetes-Zentrum e.V. (DE), Heinrich Heine University Düsseldorf (DE), Martin Luther University Halle-Wittenberg (DE), Ruhr University Bochum (DE)
Openalex Percentile: Top 23%
Advanced Causal Inference Techniques
0.71
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