Recurrent Event Data Analysis: A Brief Review
Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data
... the recurrent events setting, if a is large relative to the mean of the recur- rent event time, there is potential for a few of the recurrent events to be left out of the analysis, potentially ...
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Additive and multiplicative hazards modeling for recurrent event data analysis
... a recurrent event, and up to four revisits per subject were used in the subsequent analysis, as too few subjects experienced more than four ...to recurrent event duration data ...
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Additive and Multiplicative Hazards Modeling for Recurrent Event Data Analysis
... a recurrent event, and up to four revisits per subject were used in the subsequent analysis, as too few subjects experienced more than four ...to recurrent event duration data ...
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Estimation of multivariate distributions for recurrent event data
... estimation; Recurrent events; Survival ...experience recurrent events. This type of data has been frequently observed in medical research, engineering, economy and ...the recurrent events ...
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Semiparametric regression models for recurrent and terminal event data
... To obtain asymptotically unbiased inference about the true parameter β 0 , a naive approach is to simply discard information in the nonvalidation sample and use a partial likelihood method based on the validation sample ...
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Bootstrap confidence intervals for industrial recurrent event data
... industrial data, recurrent events, bootstrap, asymptotic theory, confidence ...observe recurrent event data, where the event of interest can be the repeated failures in a piece ...
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Statistical methods for recurrent event data in the presence of a terminal event and incomplete covariate information
... sometimes recurrent event experience is truncated by a terminal event which complicates the analysis by inducing correlation between recurrent and terminal ...and recurrent ...
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Smoothing Techniques and Semiparametric Regression Models for Recurrent Event Data
... Real data analysis 50 3.5 Real data analysis We applied the proposed method to a study which investigated the e↵ect of strep- tococci on the risk of ...
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Analysis of interval-censored recurrent event processes subject to resolution
... an event is not evident in settings where they are not immediately symptomatic, but often they can be determined to have occurred at a subsequent clinic visit, radiographic exami- nation, or blood ...the ...
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<p>Analysis Of Re-Hospitalizations For Patients With Heart Failure Caused By Coronary Heart Disease: Data Of First Event And Recurrent Event</p>
... readmission data. To better tackle recur- rent data, Oakes et al added the frailty factor to the Cox regression model to form the frailty ...for recurrent data compared with the Wei, Lin, and ...
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Clustering In Data Mining : A Brief Review
... in data analysis,image recognition,control process,data management,data mining ...technology.Cluster analysis aims at identifying groups of similar objects and, therefore helps to ...
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SEMANTIC ANALYSIS OF WEB EVENT -REVIEW
... 855 | P a g e extracted from web usage data. These navigational patterns are then used to generate recommendations based on a user’s current status. Chao Wang *, Jie Lu, Guangquan Zhang in 2007[5] proposed a ...
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Semiparametric estimation of time-varying intervention effects using recurrent event data.
... using data on first episode of the disease even when subsequent episodes have been recorded [1], leading to information loss and over-emphasis of short-term effects [10, ...using recurrent event ...
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Semiparametric estimation of time-varying intervention effects using recurrent event data.
... using data on first episode of the disease even when subsequent episodes have been recorded [1], leading to information loss and over-emphasis of short-term effects [10, ...using recurrent event ...
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A C‐index for recurrent event data: Application to hospitalizations among dialysis patients
... to recurrent event ...to recurrent event risk. The data which motivated the methods arise from the Dialysis Outcomes and Practice Patterns Study (DOPPS), a long-running prospective ...
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Simulating recurrent event data with hazard functions defined on a total time scale
... modeling data and affects the statistical results and their interpreta- tion ...prevent recurrent episodes of acute otitis media [9-12] because the risk of acute otitis media is known to be age-dependent ...
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A brief introduction to fMRI data analysis
... Describing the functionalities of these packages is beyond the scope of this paper; the interested reader can check the recent and extensive review by Eloyan et al. (2014) on the subject. Instead, the remainder of ...
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Bayesian imperfect information analysis for clinical recurrent data
... value-of-information, recurrent events, chronic granulomatous disease Introduction Recurrent events data on chronic diseases permeate medical fields, hence it is very important to have suitable ...
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Brief Review of Motor Current Signature Analysis
... Solution for detection of air-gap eccentricity using artificial neural network is described in [26], and illustrated in Figures 23 and 24. Two different types of inputs to ANN are used, spec- trum of the motor current ...
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Concepts and Tests for Trend in Recurrent Event Processes
... to review concepts of trend in recurrent event processes and the contexts in which they ...Typical data sets involve many subjects but perhaps a rather small average number of events per ...
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