Censored survival-data
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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Understanding the predictive value of continuous markers for censored survival data using a likelihood ratio approach
... in censored survival ...in censored survival data contexts through the use of an easily interpretable three-dimensional ...the data values before proceeding with the ...
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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
... of survival func- tion are ...computing survival over time. Although, it is only adequate for right-censored data ...of survival is Turnbull’s algorithm [13] which takes into account ...
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Non parametric maximum likelihood estimation of interval censored failure time data subject to misclassification
... interval censored survival data without misclassification (Betensky et al, 2001; Zhu et al, 2008) and for misclassified data (Espeland et al, ...Such data may arise in studies where ...
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Flexible Estimation and Testing Methods for Survival Data with Application in Epidemiology and Precision Medicine.
... uncensored data. For censored survival data, Goldberg and Kosorok (2012) studied Q-learning for estimating the op- timal dynamic treatment regime based on the inverse probability of censoring ...
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Principal Longevity, Leadership Behaviors, and Student Academic Achievement
... Interval censored survival data is also commonly encountered in practice. For example, in medical research, animal carcinogenicity and epidemiological study ([4], [6]) when patients in a clinical ...
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Relationship between early proteinuria and long term outcome of kidney transplanted patients from different decades of donor age
... graft survival as it does in non-transplant settings such as in diabetic nephropathy [43, ...These data would not support widespread use of this drugs to obtain clinical improve- ment in transplanted ...
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Proportional mean regression models for censored data
... the censored data seems most appealing, simply because the model is well known, widely used, well understood and well tested (see Wei, ...“synthetic data”, as termed by Leurgans ...the ...
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Original Article Histological isolated endarteritis benefits glomerular filtration rate and allograft survival after anti-rejection treatment
... Our study showed that patients with isolated endarteritis with better GFR and graft survival rate after the anti-rejection therapy. As we know, acute T-cell-mediated rejection (ATCMR) is classified by the Banff ...
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Semiparametric Mixed Models for Censored Longitudinal Data.
... smoothing parameter to be τ = 1/λ, which is consistent with the notation used by Zhang et al. (1998). In the case of 0.2% censoring (an ideal scenario considered to be equivalent to non-censoring situations), the EM and ...
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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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Resolving Entity Morphs in Censored Data
... In some societies, internet users have to create information morphs (e.g. “Peace West King” to refer to “Bo Xilai”) to avoid active censorship or achieve other com- munication goals. In this paper we aim to solve a new ...
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End-stage kidney disease due to haemolytic uraemic syndrome – outcomes in 241 consecutive ANZDATA registry cases
... Death occurred in 68 (29%) HUS ESKD dialysis patients and 62 (27%) matched dialysis controls (p = 0.54). The causes of death were cardiac (31% vs 40%, respectively), withdrawal from dialysis (21% vs 23%), infections (21% ...
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Nonparametric rank based estimation of bivariate densities given censored data conditional on marginal probabilities
... the survival function S(x) ˆ = 1 − n i=1 I ( x (i) ≤ x )/ n when there are no censored observations, where I (·) denotes the indicator ...bivariate survival estimators found in the literature (Gill ...
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Should patients older than 65 years be offered a second kidney transplant?
... graft survival appears to be improved when older organs are transplanted to older recipients [25, ...poor survival has also been demonstrated for recipients of a second graft ...death censored graft ...
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Post renal transplant anemia: severity, causes and their association with graft and patient survival
... which every event was assigned a single cause, the effect of each cause cannot be evaluated. In addition, our study had a relatively large group of patients with anemia that we considered as an unknown cause. It is most ...
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A parametric model for doubly interval censored lifetime data
... The aim of this study is to extend the log logistic model to incorporate DIC data and its special cases. The log logistic distribution is useful to model lifetime in survival analysis due to its ability to ...
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Kidney allocation based on proven acceptable antigens results in superior graft survival in highly sensitized patients
... To determine whether a beneficial effect of matching based on proven acceptable antigens exists, we next analyzed the ten-year death censored graft survival of patients transplanted through the AM program ...
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Failure Process Modeling with Censored Data in Accelerated Life Tests
... with censored data in Constant Stress Accelerated Life Tests ...in data analysis, it is impossible to get closed form of estimates of the unknown parameter due to complex and nonlinear likelihood ...
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A Stochastic EM Algorithm for Progressively Censored Data Analysis
... progressively censored data when deriving the maximum likelihood estimates (MLEs) has greatly restricted the wide adoption of this scheme by reliability ...progressively censored data is to ...
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