Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Huipei Wang"'
1
Akademický článek
Homogeneity Test of Ratios of Two Proportions in Stratified Bilateral and Unilateral Data
Autor: Huipei Wang, Chang-Xing Ma
Publikováno v: Mathematics, Vol 12, Iss 17, p 2719 (2024)
In paired-organ studies such as ophthalmology, otolaryngology, and rheumatology, etc., various approaches take highly correlated bilateral data into account for homogeneity tests but are less likely to focus on combined bilateral and unilateral data
Externí odkaz: https://doaj.org/article/6dfec496d4914cda9006c2f021aad90e
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2
Akademický článek
Distance-Based Estimation Methods for Models for Discrete and Mixed-Scale Data
Autor: Elisavet M. Sofikitou, Ray Liu, Huipei Wang, Marianthi Markatou
Publikováno v: Entropy, Vol 23, Iss 1, p 107 (2021)
Pearson residuals aid the task of identifying model misspecification because they compare the estimated, using data, model with the model assumed under the null hypothesis. We present different formulations of the Pearson residual system that account
Externí odkaz: https://doaj.org/article/8ddf33a5a87442889ffc192de834f867
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3
Acute Effects of White Button and Shiitake Mushroom Powder Supplementation on Postprandial Lipemia and Glycemia Following a High-Fat Meal
Autor: Lillian A. Talal, Huipei Wang, Brian T. Williams, Matthew J. Morris, Peter J. Horvath
Publikováno v: International Journal of Nutrition. 7:42-56
Background To determine the acute effects on postprandial lipemia and glycemia by supplementing a high-fat meal with either white button (WB) or shiitake (SH) mushroom powder. Methods Nine healthy participants (4-male, 5-female, 23.3±1.3 years, 17.8
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92ae8782845cb299cc81e162cc8769a9
https://doi.org/10.14302/issn.2379-7835.ijn-23-4430
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7
Distance-Based Estimation Methods for Models for Discrete and Mixed-Scale Data
Autor: Marianthi Markatou, Elisavet M. Sofikitou, Ray Liu, Huipei Wang
Publikováno v: Entropy
Volume 23
Issue 1
Entropy, Vol 23, Iss 107, p 107 (2021)
Pearson residuals aid the task of identifying model misspecification because they compare the estimated, using data, model with the model assumed under the null hypothesis. We present different formulations of the Pearson residual system that account
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87a393572efa0e9bbd86868c86032509
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