Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Zhenguo Qiu"'
Autor:
Miaogao Zhang, Zhenguo Qiu
Publikováno v:
Food & Nutrition Research, Vol 68, Pp 1-16 (2024)
In this study, (−)-epigallocatechin gallate (EGCG) and caffeine extracted from freeze-dried autumn Baiyedancong Oolong tea (FBOT) were orally administered to mice for 7 consecutive days to explore the effects of BOT and its bioactive compounds on t
Externí odkaz:
https://doaj.org/article/aae0d53b6cdd4a7cb071268a74579263
Autor:
Miaogao Zhang, Zhenguo Qiu
Publikováno v:
Frontiers in Nutrition, Vol 10 (2023)
IntroductionRecent studies have been conducted on its influence on drug metabolism and its potential mechanisms, among which the most studies have been focused on CYP3A enzymes.MethodsIn this study, Baiyedancong Oolong tea (BOT) was processed by free
Externí odkaz:
https://doaj.org/article/b2d6ee6d8fed4cc8b4ed1f077ae8bb0f
Publikováno v:
Health Promotion and Chronic Disease Prevention in Canada, Vol 40, Iss 9, Pp 267-280 (2020)
Introduction: Cancer projections can provide key information to help prioritize cancer control strategies, allocate resources and evaluate current treatments and interventions. Canproj is a cancer-projection tool that builds on the Nordpred R-package
Externí odkaz:
https://doaj.org/article/500c58ffd8fb4d858044c30fb2944b0e
Publikováno v:
Promotion de la santé et prévention des maladies chroniques au Canada, Vol 40, Iss 9, Pp 296-310 (2020)
Introduction: Les projections relatives au cancer fournissent une information essentielle pouvant aider à établir l’ordre de priorité des stratégies de lutte contre le cancer, à répartir les ressources et à évaluer les interventions et les
Externí odkaz:
https://doaj.org/article/c919049c9cae41888cb689b8cd186b29
simplexreg: An R Package for Regression Analysis of Proportional Data Using the Simplex Distribution
Publikováno v:
Journal of Statistical Software, Vol 71, Iss 1, Pp 1-21 (2016)
Outcomes of continuous proportions arise in many applied areas. Such data are typically measured as percentages, rates or proportions confined in the unitary interval. In this paper, the R package simplexreg which provides dispersion model fitting of
Externí odkaz:
https://doaj.org/article/fc095ab346ce42b098c27023bf2e6ce0
Publikováno v:
Promotion de la Santé et Prévention des Maladies Chroniques au Canada. 9/1/2020, Vol. 40 Issue 9, p267-280. 14p.
Publikováno v:
Promotion de la santé et prévention des maladies chroniques au Canada, Vol 40, Iss 9, Pp 296-310 (2020)
Introduction Les projections relatives au cancer fournissent une information essentielle pouvant aider à établir l’ordre de priorité des stratégies de lutte contre le cancer, à répartir les ressources et à évaluer les interventions et les t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c40851bcb99c173d16418c093bf132
https://doi.org/10.24095/hpcdp.40.9.02f
https://doi.org/10.24095/hpcdp.40.9.02f
Autor:
Peng Zhang, ZhenGuo Qiu
Publikováno v:
SCIENTIA SINICA Mathematica. 44:89-104
Outcomes of continuous proportions arise in many applied areas. Such data are typically measured as percentages, rates or proportions confined in the unitary interval. In this paper, we propose to use a dispersion model of the simplex distribution to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::532ac097b4425dbb0cffa067f2d90f36
https://doi.org/10.1360/012013-200
https://doi.org/10.1360/012013-200
Publikováno v:
Scandinavian Journal of Statistics. Dec2008, Vol. 35 Issue 4, p577-596. 20p. 5 Charts, 3 Graphs.
Publikováno v:
Journal of Statistical Software, Vol 71, Iss 1, Pp 1-21 (2016)
Journal of Statistical Software; Vol 71 (2016); 1-21
Journal of Statistical Software; Vol 71 (2016); 1-21
Outcomes of continuous proportions arise in many applied areas. Such data are typically measured as percentages, rates or proportions confined in the unitary interval. In this paper, the R package simplexreg which provides dispersion model fitting of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89cf72f64edaaab9dcca42fd11f4b95d
https://doi.org/10.18637/jss.v071.i11
https://doi.org/10.18637/jss.v071.i11