Results 31 to 40 of about 309,663 (301)

A Goodness-of-Fit Test for Log-Linearity in Cox Proportional Hazards Model Under Monotonic Covariate Effects

open access: yesMathematics
The Cox proportional hazards (PH) model is widely used because it models the covariates to the hazard through a log-linear effect. However, exploring flexible effects becomes desirable within the Cox PH framework when only a monotonic relationship ...
Huan Chen, Chuan-Fa Tang
doaj   +1 more source

Partial mixture model for tight clustering of gene expression time-course

open access: yesBMC Bioinformatics, 2008
Background Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters.
Li Chang-Tsun   +2 more
doaj   +1 more source

Partial trisomy 9: prenatal diagnosis and recurrence within same family

open access: yesClinical Case Reports, 2017
Key Clinical Message Trisomy 9 can be suspected and confirmed in the prenatal period since the 11–13.6 weeks of screening. In cases of partial trisomy 9, the diagnosis is important especially to counseling the couple due to the increased likelihood of ...
Jana López‐Félix   +7 more
doaj   +1 more source

Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors

open access: yesEntropy, 2018
Problems in statistical auditing are usually one⁻sided. In fact, the main interest for auditors is to determine the quantiles of the total amount of error, and then to compare these quantiles with a given materiality fixed by the auditor, so that ...
María Martel-Escobar   +2 more
doaj   +1 more source

Theory of Partial Likelihood

open access: yesThe Annals of Statistics, 1986
This paper develops the asymptotic theory: consistency and asymptotic normality for estimators of a parameter \(\theta\) based upon partial likelihood or conditional likelihood in a rather general setting. It includes most of the results obtained in this area, among them we can quote \textit{J. D. Kalbfleisch} and \textit{D. A. Sprott} [J. R. Stat. Soc.
openaire   +2 more sources

The asymptotic local structure of the Cox modified likelihood-ratio statistic for testing non-nested hypotheses [PDF]

open access: yes, 1992
It is shown that the Cox modified likelihood-ratio statistic for testing partially non-nested hypotheses H0 and H1 is asymptotically equivalent to a bilinear form in nondegenerate asymptotically normal random vectors for sequences of data-generating ...
Jerzy Szroeter, Szroeter, J.
core   +1 more source

Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions

open access: yesMachines
The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data.
David R. Godoy   +4 more
doaj   +1 more source

Sample Empirical Likelihood under Complex Survey Design and Bayesian Jackknife Empirical Likelihood-based Inference for Missing Data and Partial AUC [PDF]

open access: yes
The empirical likelihood (EL), introduced by Owen (1988, 1990), is a powerful tool for constructing confidence intervals in nonparametric settings. Significant developments based on empirical likelihood have been made in recent years.
Wang, Yuke
core   +2 more sources

Trends in the Use of Nephron-Sparing Surgery over 7 Years: An Analysis Using the R.E.N.A.L. Nephrometry Scoring System. [PDF]

open access: yesPLoS ONE, 2015
To analyze trends in the use of partial nephrectomy, we evaluated which individual factors of renal nephrometry score (RNS) influenced the operative approach bi-annually from 2008 to 2014.We performed a retrospective review of renal cell carcinoma ...
Seung Jea Shin   +10 more
doaj   +1 more source

Approximating Partial Likelihood Estimators via Optimal Subsampling

open access: yesJournal of Computational and Graphical Statistics, 2023
With the growing availability of large-scale biomedical data, it is often time-consuming or infeasible to directly perform traditional statistical analysis with relatively limited computing resources at hand. We propose a fast subsampling method to effectively approximate the full data maximum partial likelihood estimator in Cox's model, which largely ...
Haixiang Zhang   +3 more
openaire   +2 more sources

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