Results 121 to 130 of about 23,378,967 (385)

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

open access: yesFEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda   +12 more
wiley   +1 more source

Imputing missing covariate values for the Cox model

open access: yesStatistics in Medicine, 2009
Multiple imputation is commonly used to impute missing data, and is typically more efficient than complete cases analysis in regression analysis when covariates have missing values.
I. White, P. Royston
semanticscholar   +1 more source

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

open access: yesAging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha   +4 more
wiley   +1 more source

Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes

open access: yes, 2019
We present a non-parametric prognostic framework for individualized event prediction based on joint modeling of both longitudinal and time-to-event data.
Kontar, Raed, Yue, Xubo
core  

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham   +7 more
wiley   +1 more source

Association of prophylactic heparin therapy and outcomes in critically ill patients with sepsis-induced coagulopathy: A marginal structural Cox model cohort study [PDF]

open access: green, 2022
Jia-jia Huang   +8 more
openalex   +1 more source

Bias and Sensitivity Analysis When Estimating Treatment Effects from the Cox Model with Omitted Covariates

open access: yesBiometrics, 2013
Omission of relevant covariates can lead to bias when estimating treatment or exposure effects from survival data in both randomized controlled trials and observational studies. This paper presents a general approach to assessing bias when covariates are
N. X. Lin, S. Logan, W. Henley
semanticscholar   +1 more source

Time-varying effects when analysing customer lifetime duration, application to the insurance market [PDF]

open access: yes
The Cox model (Cox, 1972) is widely used in customer lifetime duration research, but it assumes that the regression coefficients are time invariant. In order to analyse the temporal covariate effects on the duration times, we propose to use an extended ...
Ana Maria Perez-Marin   +3 more
core  

SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas   +18 more
wiley   +1 more source

A Comparison of Baseline and Time-Dependent Approaches in Cox Model

open access: yesEpidemiology, Biostatistics and Public Health
INTRODUCTION In clinical and epidemiological research, risk factors vary throughout the observation period. Time-dependent covariates reflect evolving exposures and provide a dynamic view of the individual.
Paola Schiattarella   +16 more
doaj   +1 more source

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