Výsledky vyhledávání - "Jaime Lynn Speiser"

Performance of Cox regression models for composite time-to-event endpoints with component-wise censoring in randomized trials

Autor: Jaime Lynn Speiser, Walter T Ambrosius, Nicholas M Pajewski

Publikováno v: Clinical Trials. :174077452311770

Background Composite time-to-event endpoints are beneficial for assessing related outcomes jointly in clinical trials, but components of the endpoint may have different censoring mechanisms. For example, in the PRagmatic EValuation of evENTs And Bene

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d18590bcec0fd54ee188087c47acc7d
https://doi.org/10.1177/17407745231177046

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Akademický článek

Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models.

Autor: Jaime Lynn Speiser, William M Lee, Constantine J Karvellas, US Acute Liver Failure Study Group

Publikováno v: PLoS ONE, Vol 10, Iss 4, p e0122929 (2015)

Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients often presents significant challenges. King's College (KCC) has been validated on hospital admission, but little has been published on later phases of illness. We a

Externí odkaz: https://doaj.org/article/0df5f6cb352a43bcae9da1b9889f9c29

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High-Sensitivity C-Reactive Protein Modifies the Cardiovascular Risk of Lipoprotein(a): Multi-Ethnic Study of Atherosclerosis

Autor: Wei, Zhang, Jaime Lynn, Speiser, Fan, Ye, Michael Y, Tsai, Miguel, Cainzos-Achirica, Khurram, Nasir, David M, Herrington, Michael D, Shapiro

Publikováno v: Journal of the American College of Cardiology. 78(11)

Little is known about the relationship between lipoprotein (a) [Lp(a)] and high-sensitivity C-reactive protein (hsCRP) and their joint association with atherosclerotic cardiovascular disease (ASCVD).The purpose of this study was to assess whether Lp(

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::0e35146cd98d151d898579c701169049
https://pubmed.ncbi.nlm.nih.gov/34503677

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