Right-Censored Data
Monte Carlo Simulation Based Structural Part Life Estimation According to Small Sample of Right censored Data
... life data. When there is only right-censored life data and the sample size is small, additional assumption or special technique is ...several right-censored data by ...
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A Non-mixture Cure Model for Right Censored Data with Fréchet Distribution
... Abstract: This paper considers a non-mixture cure model for right censored data. It utilizes the maximum likelihood method to estimate model parameters in the non-mixture cure model. The simulation ...
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Statistical Diagnosis for Random Right Censored Data Based on Kaplan Meier Product Limit Estimate
... random right censored data based on K-M product limit ...complete data, we define likelihood displacement and likelihood ratio ...real data application, we show that our proposed proce- ...
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Strong Convergence Rates of the Product-limit Estimator for Left Truncated and Right Censored Data under Association
... (NA) data under random left truncation and right censorship ...to right censorship and dependency of the lifetime ...(NA) data under right random censorship ...
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MCP penalized Regression in High Dimensional Partially Linear Models for Right Censored Data
... with right censored response variables, this paper first put forward a semi-parametric regression model include two covariate effects, one is for the low dimensional covariates taken a nonparametric form, ...
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Nonparametric rank based estimation of bivariate densities given censored data conditional on marginal probabilities
... In this note we develop a new Kaplan-Meier product-limit type estimator for the bivariate survival function given right censored data in one or both dimensions. Our deriva- tion is based on extending ...
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Smooth Inference for Survival Functions with Arbitrarily Censored Data
... of right- censored data is to use the Kaplan-Meier (KM) estimator (Kaplan and Meier, 1958), which is a right continuous step function that takes jumps at death times (see Klein and ...
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Comparing survival functions with interval-censored data in the presence of an intermediate clinical event
... interval-censored data was studied via MI based on the approximate Bayesian bootstrap ...interval- censored data with auxiliary variables was studied ...all data points including ...
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Estimation and model selection for left truncated and right censored lifetime data with application to electric power transformers analysis
... and right-censored data, our conclusion (EM is better for lognormal; NR is better for Weibull; NR is faster when it converges) may be generalized to other data structures that use EM ...
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Principal Longevity, Leadership Behaviors, and Student Academic Achievement
... for right censored data and our proposed method for interval censored ...average right cen- soring rate of ...this data set as the Original Dataset D = {T, δ, x, z}, where T = ...
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Non-Destructive Determination of Magnetic Audio Tape Degradation for Various Tape Chemistries Using Spectroscopy and Chemometrics
... • In Chapter 5, we use two cleaned data sets from Health Sciences South Carolina (HSSC) to illustrate the usage of HDS(t). The HDS(t) and its 95% confidence interval are calculated and used to test the hypothesis ...
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Estimation of Stress-Strength Reliability For Weibull Distribution Based on Type-II Right Censored Ranked Set Sampling Data
... type-II right censored data when the distributions of both the stress and the strength are ...speed data sets are analyzed to illustrate the proposed methods in ...
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Simulation of parametric model towards the fixed covariate of right censored lung cancer data
... the right censored data and the interval censored data with time varying ...with right censored data used Wald and Jackknife technique to accurately measure the ...
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Hurdle negative binomial regression model with right censored count data
... fit right censored ...the data are censored from the right ...fish data are summarized in Table ...the data which are used in the model. Also, the censored hurdle ...
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Use of interval-censored survival data as an alternative to Kaplan-Meier survival curves: studies of oral lesion occurrence in liver transplants and cancer recurrence
... In the literature, several estimators of survival func- tion are available. Currently, the Kaplan-Meier estimate is the simplest method for computing survival over time. Although, it is only adequate for ...
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Flexible modelling of survival curves for censored data
... to censored data using direct MLE or PWMs, since this requires maximising or minimis- ing a much more complex objective function which can be difficult in ...empirical data, as illus- trated in ...
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Bayesian analysis and model selection for interval censored survival data
... BAYESIAN ANALYSIS AND MODEL SELECTION FOR INTERVAL-CENSORED SURVIVAL DATA!. by.[r] ...
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Resolving Entity Morphs in Censored Data
... However, morph resolution in social media is challenging due to the following reasons. First, the sensitive real targets that exist in the same data source under active censorship are often au- tomatically ...
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Using a Counting Process Method to Impute Censored Follow-up Time Data
... Kaplan-Meir (KM) plot comparing the imputed censored data with the dataset of complete follow-up times.. We see that the imputed censored follow-up time of[r] ...
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Semiparametric Mixed Models for Censored Longitudinal Data.
... There is a rich literature on the development of semiparametric regression models for longitudinal data analysis. For example, Zeger and Diggle (1994) proposed a semiparamet- ric model where a nonparametric ...
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