نتایج جستجو برای: progressively censoring

تعداد نتایج: 32191  

Journal: :Statistics in medicine 2004
Allen C Goodman Yingwei Peng Janet R Hankin David E Kalist Stephen J Spurr

This paper analyses a case in censored failure time data problems where some observations are potentially censored. The traditional models for failure time data implicitly assume that the censoring status for each observation is deterministic. Therefore, they cannot be applied directly to the potentially censored data. We propose an estimator that uses resampling techniques to approximate censo...

Journal: :Lifetime data analysis 2001
R Sundberg

In the model of type I censored exponential lifetimes, coverage probabilities are compared for a number of confidence interval constructions proposed in literature. The coverage probabilities are calculated exactly for sample sizes up to 50 and for different degrees of censoring and different degrees of intended confidence. If not only a fair two-sided coverage is desired, but also fair one-sid...

Journal: :Statistica Neerlandica 1980

2009
A. ADAM DING GUANGKAI SHI WEIJING WANG JIN-JIAN HSIEH

Multiple events data are commonly seen in medical applications. There are two types of events, namely terminal and non-terminal. Statistical analysis for non-terminal events is complicated due to dependent censoring. Consequently, joint modelling and inference are often needed to avoid the problem of non-identifiability. This article considers regression analysis for multiple events data with m...

Journal: :Electronic Communications in Probability 2014

Journal: :CoRR 2014
Xiaoqiang Ren Jiming Chen Karl Henrik Johansson Ling Shi

The problem of quickest change detection with a wireless sensor node is studied in this paper. The sensor that is deployed to monitor the environment has limited energy constraint to the classical quickest change detection problem. We consider the “censoring” strategy at the sensor side, i.e., the sensor selectively sends its observations to the decision maker. The quickest change detection pro...

2013
Yanqin Fan Ruixuan Liu

In this paper we characterize the identified set and construct asymptotically valid and non-conservative confidence sets for the quantile regression coeffi cient in a linear quantile regression model, where the dependent variable is subject to possibly dependent censoring. The underlying censoring mechanism is characterized by an Archimedean copula for the dependent variable and the censoring v...

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2016
Rebecca A Hubbard Theodora M Ripping Jessica Chubak Mireille J M Broeders Diana L Miglioretti

BACKGROUND This study illustrates alternative statistical methods for estimating cumulative risk of screening mammography outcomes in longitudinal studies. METHODS Data from the US Breast Cancer Surveillance Consortium (BCSC) and the Nijmegen Breast Cancer Screening Program in the Netherlands were used to compare four statistical approaches to estimating cumulative risk. We estimated cumulati...

Journal: :CoRR 2017
Jwo-Yuh Wu Ming-Hsun Yang Tsang-Yi Wang

To strike a balance between energy efficiency and data quality control, this paper proposes a sensor censoring scheme for distributed sparse signal recovery via compressive-sensing based wireless sensor networks. In the proposed approach, each sensor node employs a sparse sensing vector with known support for data compression, meanwhile enabling making local inference about the unknown support ...

Journal: :Statistics in medicine 2012
Fang Xiang Susan Murray

The US lung allocation policy estimates each individual's urgency and transplant benefit in defining a lung allocation score (LAS). Transplant benefit, as defined by the Organ Procurement and Transplantation Network Thoracic Committee, is the days of life gained over the following year if transplanted versus not transplanted. Urgency is measured by days of life during the next year without tran...

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