Results 41 to 50 of about 143,582 (164)

Testing for mechanistic interactions in long-term follow-up studies. [PDF]

PLoS ONE, 2015
In follow-up studies, interactions are often assessed by including a cross-product term in a (multiplicative) Cox model. However, epidemiologists/clinicians often misinterpret a significant multiplicative interaction as a genuine mechanistic interaction.
Jui-Hsiang Lin, Wen-Chung Lee
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Classical and Bayesian Inference Using Type-II Unified Progressive Hybrid Censored Samples for Pareto Model

Applied Bionics and Biomechanics, 2022
In the lifetime and reliability experiments, the censored samples play a fundamental and important role in order to control time and cost. The researchers developed the censored sample schemes to solve the problems that arise by applying the previous ...
M. Nagy, Adel Fahad Alrasheedi
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Learning Something From Nothing: The Critical Importance of Rethinking Microbial Non-detects

Frontiers in Microbiology, 2018
Accurate estimation of microbial concentrations is necessary to inform many important environmental science and public health decisions and regulations.
Alex Ho Shing Chik, Alex Ho Shing Chik, Alex Ho Shing Chik, Philip J. Schmidt, Monica B. Emelko   +4 more
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Spatial Modeling of Censored Survival Data

پژوهش‌های ریاضی, 2015
An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even ...
K Motarjem, M Mohammadzadeh, A Abyar
doaj  

Large Deviations for Censored Data

The Annals of Statistics, 1993
Large deviation properties of the Kaplan-Meier estimator are studied and applied to obtain the rate of exponential convergence of the estimator to the underlying survival curve.
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Sequential projection pursuit principal component analysis – dealing with missing data associated with new -omics technologies

BioTechniques, 2013
Principal Component Analysis (PCA) is a common exploratory tool used to evaluate large complex data sets. The resulting lower-dimensional representations are often valuable for pattern visualization, clustering, or classification of the data.
Bobbie-Jo M. Webb-Robertson, Melissa M. Matzke, Thomas O. Metz, Jason E. McDermott, Hyunjoo Walker, Karin D. Rodland, Joel G. Pounds, Katrina M. Waters   +7 more
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Censored Bimodal Symmetric-Asymmetric Alpha-Power Model

Revista Colombiana de Estadística, 2013
We introduce the censored bimodal symmetric-asymmetric alpha-power models to adjust censored data with bimodality and high levels of skewness and kurtosis. The moments corresponding are computed, the maximum likelihood estimation for the model parameters
HUGO S. SALINAS, GUILLERMO MARTÍNEZ-FLÓREZ, GERMÁN MORENO-ARENAS   +2 more
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Monitoring gamma type-I censored data using an exponentially weighted moving average control chart based on deep learning networks

Scientific Reports
In recent years, deep learning methods have been widely used in combination with control charts to improve the monitoring efficiency of complete data. However, due to time and cost constraints, data obtained from reliability life tests are often type-I ...
Pei-Hsi Lee, Shih-Lung Liao
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Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm

Mathematics
A Bayesian network offers powerful knowledge representations for independence, conditional independence and causal relationships among variables in a given domain. Despite its wide application, the detection limits of modern measurement technologies make
Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang   +3 more
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A Bayesian Bootstrap for Censored Data

The Annals of Statistics, 1993
In \textit{D. B. Rubin}'s [ibid. 9, 130-134 (1981)] Bayesian bootstrap of an empirical distribution function the original observations obtain new (random) masses from the vector of spacings associated with \(n-1\) independent uniform random variables.
openaire   +3 more sources