检索结果-南通市图书馆

Usefulness of fecal lactoferrin in predicting and monitoring the clinical severity of infectious diarrhea

World Journal of Gastroenterology 2011年第37期17卷 4218-4224页

作者： Chien-Chang Chen Chee-Jen Chang Tzou-Yien Lin Ming-Wei Lai Hsun-Chin Chao Man-Shan Kong Division of Gastroenterology Department of Pediatrics Chang Gung Memorial Hospital Taoyuan 333 Taiwan China Department of Medicine Chang Gung University College of Medicine Taoyuan 333 Taiwan China Graduate Institute of Clinical Medical Sciences Clinical Informatics and Medical Statistics Research Center Chang Gung Memorial Hospital Taoyuan 333 Taiwan China

AIM:To explore the value of fecal lactoferrin in predicting and monitoring the clinical severity of infectious ***:Patients with acute infectious diarrhea ranging from 3 mo to 10 years in age were enrolled,and one to three stool samples from each subject were *** parameters,including white blood cells /differential count,C-reactive protein,fecal mucus,fecal pus cells,duration of fever,vomiting,diarrhea and severity(indicated by Clark and Vesikari scores),were recorded and *** lactoferrin was determined by enzyme-linked immunosorbent assay and compared in different pathogen and disease *** estimating equations(GEE) were also used for ***:Data included 226 evaluations for 117 individuals across three different time *** lactoferrin was higher in patients with Salmonella(11.17 μg/g ± 2.73 μg/g) or Campylobacter(10.32 μg/g ± 2.94 μg/g) infections and lower in patients with rotavirus(2.82 μg/g ± 1.27 μg/g) or norovirus(3.16 μg/g ± 1.18 μg/g) *** of fecal lactoferrin were significantly elevated in patients with severe(11.32 μg/g ± 3.29 μg/g) or moderate(3.77 μg/g ± 2.08 μg/g) disease activity compared with subjects with mild(1.51 μg/g ± 1.36 μg/g) disease activity(P < 0.05).GEE analysis suggests that this marker could be used to monitor the severity and course of gastrointestinal infections and may provide information for disease ***:Fecal lactoferrin increased during bacterial infection and with greater disease severity and may be a good marker for predicting and monitoring intestinal inflammation in children with infectious diarrhea.

关键词： Lactoferrin Diarrhea generalized estimating equations Vesikari scores Clark scores

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Empirical Likelihood Based Longitudinal Data Analysis

引用

Open Journal of Statistics 2020年第4期10卷 611-639页

作者： Tharshanna Nadarajah Asokan Mulayath Variyath J Concepción Loredo-Osti Department of Mathematics and Statistics St. Francis Xavier University Antigonish Canada Department of Mathematics and Statistics Memorial University of Newfoundland St. John’s Canada

In longitudinal data analysis, our primary interest is in the estimation of regression parameters for the marginal expectations of the longitudinal responses, and the longitudinal correlation parameters are of secondary interest. The joint likelihood function for longitudinal data is challenging, particularly due to correlated responses. Marginal models, such as generalized estimating equations (GEEs), have received much attention based on the assumption of the first two moments of the data and a working correlation structure. The confidence regions and hypothesis tests are constructed based on the asymptotic normality. This approach is sensitive to the misspecification of the variance function and the working correlation structure which may yield inefficient and inconsistent estimates leading to wrong conclusions. To overcome this problem, we propose an empirical likelihood (EL) procedure based on a set of estimating equations for the parameter of interest and discuss its characteristics and asymptotic properties. We also provide an algorithm based on EL principles for the estimation of the regression parameters and the construction of its confidence region. We have applied the proposed method in two case examples.

关键词： Longitudinal Data generalized estimating equations Empirical Likelihood Adjusted Empirical Likelihood Extended Empirical Likelihood

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Modeling Individual Patient Count/Rate Data over Time with Applications to Cancer Pain Flares and Cancer Pain Medication Usage

引用

Open Journal of Statistics 2021年第5期11卷 633-654页

作者： George J. Knafl Salimah H. Meghani School of Nursing University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Biobehavioral Health Sciences School of Nursing University of Pennsylvania Philadelphia PA USA

The purpose of this article is to investigate approaches for modeling individual patient count/rate data over time accounting for temporal correlation and non-constant dispersions while requiring reasonable amounts of time to search over alternative models for those data. This research addresses formulations for two approaches for extending generalized estimating equations (GEE) modeling. These approaches use a likelihood-like function based on the multivariate normal density. The first approach augments standard GEE equations to include equations for estimation of dispersion parameters. The second approach is based on estimating equations determined by partial derivatives of the likelihood-like function with respect to all model parameters and so extends linear mixed modeling. Three correlation structures are considered including independent, exchangeable, and spatial autoregressive of order 1 correlations. The likelihood-like function is used to formulate a likelihood-like cross-validation (LCV) score for use in evaluating models. Example analyses are presented using these two modeling approaches applied to three data sets of counts/rates over time for individual cancer patients including pain flares per day, as needed pain medications taken per day, and around the clock pain medications taken per day per dose. Means and dispersions are modeled as possibly nonlinear functions of time using adaptive regression modeling methods to search through alternative models compared using LCV scores. The results of these analyses demonstrate that extended linear mixed modeling is preferable for modeling individual patient count/rate data over time, because in example analyses, it either generates better LCV scores or more parsim

关键词： Adaptive Regression Extended Linear Mixed Modeling generalized estimating equations Likelihood-Like Cross-Validation Poisson Regression

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：