Can supervised deep learning architecture outperform autoencoders in building propensity score models for matching?

Abstract Purpose Propensity score matching is vital in epidemiological studies using observational data, yet its estimates relies on correct model-specification. This study assesses supervised deep learning models and unsupervised autoencoders for propensity score estimation, comparing them with tra...

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Үндсэн зохиолч:	Mohammad Ehsanul Karim
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2024-08-01
Цуврал:	BMC Medical Research Methodology
Нөхцлүүд:	Machine learning Propensity score Deep learning Causal inference
Онлайн хандалт:	https://doi.org/10.1186/s12874-024-02284-5
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!