Results 181 to 190 of about 1,569,089 (229)

Improved prediction and risk stratification of major adverse cardiovascular events using an explainable machine learning approach combining plasma biomarkers and traditional risk factors. [PDF]

Cardiovasc Diabetol
Zhang XR, Zhong WF, Liu RY, Huang JL, Fu JX, Gao J, Zhang PD, Liu D, Li ZH, He Y, Zhou H, Li Z.   +11 more
europepmc   +1 more source

Preoperative MR - based model for predicting prognosis in patients with intracranial extraventricular ependymoma. [PDF]

Eur J Radiol Open
Li L, Wang X, Tan Z, Mao Y, Huang D, Yi X, Jiang M, Chen BT.   +7 more
europepmc   +1 more source

Accelerated metabolomic ageing (MileAge) in mid-life predicts incident vascular, unspecified and all-cause dementia

Mutz J, Gilchrist L, Pain O, Proitsi P, Lewis CM.   +4 more
europepmc   +1 more source

Summary measures in non-inferiority clinical trials with a time-to-event outcome: an empirical comparison of power

Broer SD, White IR, Morris TP, Weir IR, Fiocco M, Quartagno M.   +5 more
europepmc   +1 more source

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Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model

Quality and Reliability Engineering International, 2020
The Bayesian network (BN) is an efficient tool for probabilistic modeling and causal inference, and it has gained considerable attentions in the field of reliability assessment.
Yanfeng Li, Yang Liu, Tudi Huang, Hongzhong Huang, J. Mi   +4 more
semanticscholar   +1 more source

What time is it? Choice of time origin and scale in extended proportional hazards models.

Ecology, 2009
The analysis of telemetry data offers many unique challenges due to both the observation process and the complexity of the underlying system (e.g., risk of mortality may be influenced by both age and a wide range of environmental variables).
J. Fieberg, G. DelGiudice
semanticscholar   +1 more source

Efficiency of the logistic regression and Cox proportional hazards models in longitudinal studies.

Statistics in Medicine, 1989
Both logistic regression and Cox proportional hazards models are used widely in longitudinal epidemiologic studies for analysing the relationship between several risk factors and a time-related dichotomous event. The two models yield similar estimates of
I. Annesi, T. Moreau, J. Lellouch
semanticscholar   +1 more source

Maximum likelihood methods for complex sample data: logistic regression and discrete proportional hazards models

, 1985
To estimate model parameters from complex sample data. we apply maximum likelihood techniques to the complex sample data from the finite population, which is treated as a sample from an i nfinite superpopulation. General asymptotic distribution theory is
L. Chambless, K. Boyle
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Technical Note - Variate Generation for Accelerated Life and Proportional Hazards Models

Operational Research, 1987
We use accelerated life and proportional hazards lifetime models to account for the effects of covariates on a random lifetime. We find that variate generation algorithms for Monte Carlo simulation in both the renewal and nonhomogeneous Poisson process ...
L. Leemis
semanticscholar   +1 more source