Results 31 to 40 of about 10,533,556 (401)

Unsupervised clustering identifies sub-phenotypes and reveals novel outcome predictors in patients with dialysis-requiring sepsis-associated acute kidney injury

open access: yesAnnals of Medicine, 2023
Introduction Heterogeneity exists in sepsis-associated acute kidney injury (SA-AKI). This study aimed to perform unsupervised consensus clustering in critically ill patients with dialysis-requiring SA-AKI.Patients and Methods This prospective ...
Chun-Fu Lai   +7 more
doaj   +1 more source

Competing biosecurity and risk rationalities in the Chittagong poultry commodity chain, Bangladesh [PDF]

open access: yes, 2018
This paper anthropologically explores how key actors in the Chittagong live bird trading network perceive biosecurity and risk in relation to avian influenza between production sites, market maker scenes and outlets.
A Appadurai   +62 more
core   +4 more sources

The time to degree or dropout amongst full-time master’s students at University of KwaZulu-Natal

open access: yesSouth African Journal of Science, 2015
Universities around the world are grappling with strategies to increase throughput and minimise dropout rates of postgraduate students. This study focuses on students at the University of KwaZulu-Natal and we attempt to estimate the time that it takes ...
Temesgen Zewotir   +2 more
doaj   +1 more source

Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death [PDF]

open access: yes, 2019
Indiana University-Purdue University Indianapolis (IUPUI)Context. Prediction models for dementia are crucial for informing clinical decision making in older adults.
Marchetti, Arika L.
core   +1 more source

The Survival of Childhood Acute Lymphoblastic Leukemia and its Related Factors Using Competing Risks Model: A Retrospective Study from 2011 to 2019 in Northwestern Iran [PDF]

open access: yesMiddle East Journal of Cancer, 2022
Background: We aimed to evaluate the survival rate and define the prognostic factors in children with acute lymphoblastic leukemia (ALL). Method: In this retrospective study, the data were extracted from the medical records of 176 children with ALL who ...
Mehran Noroozi   +7 more
doaj   +1 more source

Competing Risk Analyses of Medullary Carcinoma of Breast in Comparison to Infiltrating Ductal Carcinoma

open access: yesScientific Reports, 2020
The aim of current study was to use competing risk model to assess whether medullary carcinoma of the breast (MCB) has a better prognosis than invasive ductal carcinomas of breast cancer (IDC), and to build a competing risk nomogram for predicting the ...
D. Dai   +6 more
semanticscholar   +1 more source

A competing risk model for health and food insecurity in the West Bank [PDF]

open access: yes, 2010
This paper explores the interactions between the risk of food insecurity and the decision to health insure in the Palestinian Territories. The risk of adverse health conditions is insurable; the risk of food insecurity is a background risk and no market ...
Cavatorta, Elisa, Pieroni, L.
core   +1 more source

Competing Risk Analyses of Patients with End-Stage Renal Disease

open access: yesElectronic Physician, 2015
Introduction: Chronic kidney disease (CKD) is an important health problem that gradually leads to end-stage renal disease (ESRD). In ESRD patients, death due to other diseases or some events, such as renal transplantation (known as competing risks ...
Reza Tabrizi   +6 more
doaj   +1 more source

Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis

open access: yesFrontiers in Pediatrics, 2023
BackgroundLength of hospital stay (LOS) is one of the essential indicators for evaluating the efficiency and the quality-of-care service delivered. predicting LOS is critical for resource allocation, decision-making, lowering neonatal morbidity and death,
Zelalem Tazu Bonger   +3 more
doaj   +1 more source

Bias from competing risk before recruitment in Mendelian Randomization studies of conditions with shared etiology

open access: yesbioRxiv, 2019
Mendelian randomization, i.e., instrumental variable analysis with genetic instruments, is an increasingly popular and influential analytic technique that can foreshadow findings from randomized controlled trials quickly and cheaply even when no study ...
C. Schooling   +5 more
semanticscholar   +1 more source

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