Results 11 to 20 of about 291,396 (287)

A survival tree for interval-censored failure time data

open access: yesAIMS Mathematics, 2022
Interval-censored failure time data as a general type of survival data often arises in medicine and other applied fields. Survival tree is a flexible predictive method for survival data because no specific assumptions are required.
Jia Chen, Renato De Leone
doaj   +1 more source

Regression models for interval censored data using parametric pseudo-observations

open access: yesBMC Medical Research Methodology, 2021
Background Time-to-event data that is subject to interval censoring is common in the practice of medical research and versatile statistical methods for estimating associations in such settings have been limited.
Martin Nygård Johansen   +3 more
doaj   +1 more source

Analysis of censored data [PDF]

open access: yesBiochemia Medica, 2012
Analyzing events over time is often complicated by incomplete, or censored, observations. Special non-parametric statistical methods were developed to overcome difficulties in summarizing and comparing censored data. Life-table (actuarial) method and Kaplan-Meier method are described with an explanation of survival curves.
Lucijanic, Marko, Petrovecki, Mladen
openaire   +4 more sources

Estimating Dynamic Signals From Trial Data With Censored Values

open access: yesComputational Psychiatry, 2017
Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses.
Ali Yousefi   +4 more
doaj   +1 more source

On Recensoring for Censored Paired Data [PDF]

open access: yesJournal of the American Statistical Association, 1993
In comparing two treatment regimens, a matched-pair design is often used for nonhomogeneous experimental units. A standard method of analyzing the resulting data is to consider the difference within pairs, so that the nuisance parameters due to the heterogeneity between pairs can be eliminated and the parameter of interest—the treatment effect—can be ...
J.J. Lee, K.C. Li, R.M. Elashoff
openaire   +2 more sources

Multiple imputation approach for interval-censored time to HIV RNA viral rebound within a mixed effects Cox model [PDF]

open access: yes, 2018
This is the peer reviewed version of the following article: “Alarcón-Soto, Y, Langohr K., Fehér, C., García, F., and Gómez, G. (2018) Multiple imputation approach for interval-censored time to HIV RNA viral rebound within a mixed effects Cox Model ...
Alarcón Soto, Yovaninna   +4 more
core   +2 more sources

Rotation survival forest for right censored data [PDF]

open access: yesPeerJ, 2015
Recently, survival ensembles have found more and more applications in biological and medical research when censored time-to-event data are often confronted.
Lifeng Zhou, Qingsong Xu, Hong Wang
doaj   +2 more sources

Residual Control Chart Based on a Convolutional Neural Network and Support Vector Regression for Type-I Censored Data with the Weibull Model

open access: yesMathematics, 2023
Control charts with conditional expected value (CEV) can be used with novel statistical techniques to monitor the means of moderately and lowly censored data.
Pei-Hsi Lee, Shih-Lung Liao
doaj   +1 more source

Statistical Modeling and Estimation of Censored Pathloss Data [PDF]

open access: yes, 2015
Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can ...
Abbas, Taimoor   +3 more
core   +2 more sources

Censored count data regression with missing censoring information [PDF]

open access: yesElectronic Journal of Statistics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bousselmi, Bilel   +2 more
openaire   +3 more sources

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