Results 71 to 80 of about 1,569,089 (229)

Inverse Probability Weighting Enhances Absolute Risk Estimation in Three Common Study Designs of Nosocomial Infections

Clinical Epidemiology, 2022
Paulina Staus,1 Maja von Cube,1,* Derek Hazard,1,* Sam Doerken,1 Ksenia Ershova,2 James Balmford1 ,† Martin Wolkewitz1 1Institute of Medical Biometry and Statistics, Division Methods in Clinical Epidemiology, Faculty of Medicine and Medical ...
Staus P, von Cube M, Hazard D, Doerken S, Ershova K, Balmford J, Wolkewitz M   +6 more
doaj  

Prognostic Analysis of IgA Nephropathy Patients with High Risk of CKD Progression Treated with Glucocorticoid: a Retrospective Study [PDF]

Zhongguo quanke yixue
Background IgA nephropathy (IgAN) is a common primary glomerulonephritis worldwide, and the improvement of glucocorticoid on the renal prognosis of IgAN patients with high risk of CKD progression remains unclear.
GAO Ge, ZHANG Xinyue, FENG Yuhua, DOU Jingyu, WU Xueying, CHENG Genyang
doaj   +1 more source

Attenuation in risk estimates in logistic and Cox proportional-hazards models due to group-based exposure assessment strategy.

Annals of Occupational Hygiene, 2005
In occupational epidemiology, it is often possible to obtain repeated measurements of exposure from a sample of subjects (workers) who belong to exposure groups associated with different levels of exposure.
Hyang-mi Kim, Y. Yasui, I. Burstyn
semanticscholar   +1 more source

Machine learning algorithms for predicting unemployment duration in Russia [PDF]

Russian Journal of Economics
Predictions of the individual unemployment duration will allow to distribute target support while searching for a job more effectively. The paper uses survival models to predict the unemployment duration based on data from Russian employment centers in ...
Anna A. Maigur
doaj   +3 more sources

A further result on the aging properties of an extended additive hazard model [PDF]

arXiv, 2019
The passing of time is an important factor for covariates in the additive and proportional hazard models. According to this idea, the extended additive hazard model (EAHM) is introduced by considering the time-varying effects of covariates and is investigated several properties of this model related to reliability analysis.
arxiv  

Marginal proportional hazards models for multivariate interval-censored data. [PDF]

Biometrika, 2023
Xu Y, Zeng D, Lin DY.
europepmc   +1 more source

Survival in influenza virus-related pneumonia by viral subtype: 2016-2020

International Journal of Infectious Diseases, 2021
Background: : Influenza remains a common cause of morbidity and mortality worldwide, and viral subtype-related differences in disease outcomes have been documented.
Efrén Murillo-Zamora, Xóchitl Trujillo, Miguel Huerta, Mónica Ríos-Silva, José Guzmán-Esquivel, Verónica Benites-Godínez, Oliver Mendoza-Cano   +6 more
doaj  

Comparing of cox model and parametric models in analysis of effective factors on event time of neuropathy in patients with type 2 diabetes

Journal of Research in Medical Sciences, 2017
Background: Cox proportional hazard model is the most common method for analyzing the effects of several variables on survival time. However, under certain circumstances, parametric models give more precise estimates to analyze survival data than Cox ...
Sadegh Kargarian-Marvasti, Shahnaz Rimaz, Jamileh Abolghasemi, Iraj Heydari   +3 more
doaj   +1 more source

Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction

Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 2020
Introduction The frequently used Cox regression applies two critical assumptions, which might not hold for all predictors. In this study, the results from a Cox regression model (CM) and a generalized Cox regression model (GCM) are compared. Methods Data
Jantje Goerdten, Isabelle Carrière, Graciela Muniz‐Terrera   +2 more
doaj   +1 more source

Efficient Semiparametric Estimation of Short-term and Long-term Hazard Ratios with Right-Censored Data [PDF]

arXiv, 2012
The proportional hazards assumption in the commonly used Cox model for censored failure time data is often violated in scientific studies. Yang and Prentice (2005) proposed a novel semiparametric two-sample model that includes the proportional hazards model and the proportional odds model as sub-models, and accommodates crossing survival curves.
arxiv