Results 51 to 60 of about 1,325,821 (188)

CD4 expression on monocytes correlates with recovery from multiple organ dysfunction syndrome and mortality in patients with septic shock

open access: yesFrontiers in Medicine
BackgroundTo date, the correlation between CD4 on the monocytes (mCD4) expression and the prognosis of patients with septic shock remains unclear. The purpose of this study was to analyze the expression of mCD4 in these patients and further evaluate ...
Yingqian Sun   +4 more
doaj   +1 more source

Estimation of the growth curve parameters in Macrobrachium rosenbergii [PDF]

open access: yes, 2011
Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of Macrobrachium rosenbergii ...
Gopal, Krishna   +3 more
core  

Mean platelet volume predicts the glycemic control deterioration in diabetes mellitus type 2 patients [PDF]

open access: yesMedicinski Glasnik, 2016
Aim To investigate association of mean platelet volume (MPV) and glycemic control markers, and whether MPV could be used as a predictor of deterioration of glucoregulation in Diabetes mellitus type 2 (DMT2) patients.
Damira Kadić   +2 more
doaj   +1 more source

Properties of estimators of parameters in logistic regression models [PDF]

open access: yes, 1985
Properties of various types of estimators of the regression coefficients in linear logistic regression models are considered. The estimators include those based on maximum likelihood, minimum chi-square and weighted least squares.
Al-Sarraf, Z, Young, D H
core  

Influencing Factors on Buying Health Supplemental Insurance by the Staff of Shiraz University of Medical Sciences [PDF]

open access: yesJournal of Health Management & Informatics, 2019
Introduction: One of the most reliable sources of financing healthcare costs is healthinsurance. Covering all the services by basic health insurance is not affordable economically, so that some services are covered by supplementary health insurances ...
Zahra Kavosi   +4 more
doaj  

Implementation Smart City Concepts for Mobility, Case Study of World Logistic Models on the Smart Principles

open access: yesLogi, 2020
The aim of the article is to present the logistic models of world cities, their benefits and limitations, which serve as best practices for others, which are based on a secondary analysis of case studies.
Šulyová Dominika   +2 more
doaj   +1 more source

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

open access: yes, 2013
Penalized regression is an attractive framework for variable selection problems. Often, variables possess a grouping structure, and the relevant selection problem is that of selecting groups, not individual variables. The group lasso has been proposed as
A. Chiang   +28 more
core   +1 more source

Factors Influencing Satisfaction with Patient-Controlled Analgesia Among Postoperative Patients Using a Generalized Ordinal Logistic Regression Model

open access: yesAsian Nursing Research, 2020
Summary: Purpose: The purpose of this study was to identify the factors affecting the satisfaction with patient-controlled analgesia (PCA) of patients using a generalized ordinal logistic regression model and to evaluate the difference in results of the
Wonhee Baek   +3 more
doaj   +1 more source

Variational Inference in Nonconjugate Models

open access: yes, 2013
Mean-field variational methods are widely used for approximate posterior inference in many probabilistic models. In a typical application, mean-field methods approximately compute the posterior with a coordinate-ascent optimization algorithm.
Blei, David M., Wang, Chong
core  

A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification [PDF]

open access: yes, 2013
Multi-task learning has shown to significantly enhance the performance of multiple related learning tasks in a variety of situations. We present the fused logistic regression, a sparse multi-task learning approach for binary classification. Specifically,
Claassen, Manfred, Mitov, Venelin
core  

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