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Development and validation of a predictive models for predicting the cardiac events within one year for patients underwent percutaneous coronary intervention procedure at IJN

Autor: Kok Yew Ngew, Hao Zhe Tay, Ahmad K. M. Yusof

Publikováno v: BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-9 (2023)

Abstract Purpose Percutaneous coronary intervention (PCI) is a common treatment modality for coronary artery disease. Accurate prediction of patients at risk for complications and hospital readmission after PCI could improve the overall clinical mana

Externí odkaz: https://doaj.org/article/8c07cd5da4674f3d9674e68f4e1aaf12

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Real-World Treatment Patterns, Outcomes and Disease Burden of Japanese Patients with High-Risk Myelodysplastic Syndrome: A Claims Database Study

Autor: Naoshi Obara, Hirotomo Shioi, Shi Hong Ooi, Hao Zhe Tay, Tze Fang Wong

Publikováno v: Blood. 140:12327-12328

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::460865ae561cc7ef26690592e44388d6
https://doi.org/10.1182/blood-2022-162196

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Model selection based on value-at-risk backtesting approach for GARCH-Type models

Autor: Hao-Zhe Tay, Y. B. Koh, Kooi-Huat Ng, Kok Haur Ng

Publikováno v: Journal of Industrial & Management Optimization. 16:1635-1654

This paper aims to investigate the efficiency of the value-at-risk (VaR) backtests in the model selection from different types of generalised autoregressive conditional heteroskedasticity (GARCH) models with skewed and non-skewed innovation distribut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ee53301633bdd3c34ce33a0813e339f
https://doi.org/10.3934/jimo.2019021

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