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Dataset for: A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/Dataset_for_A_marginal_structural_model_for_recurrent_events_in_the_presence_of_time-dependent_confounding_non-specific_effects_of_vaccines_on_child_hospitalisations/5039386
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资源简介:
Using a Danish register-based study on childhood vaccination and hospitalisation as motivation, a marginal structural model for recurrent events is studied. The model addresses a number of challenges which may be seen more generally in large register-based cohort studies. One is to adjust for a time-dependent confounder when studying the effect of a time-varying exposure on a recurrent event based on an analysis in continuous time. Another is to report results via a measure which is easy to interpret and communicate even though quite elaborate treatment regimes are considered. Lastly, the implementation of continuously updated weights implies a substantial computationally demanding workload.
创建时间:
2017-05-25
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