analysis of survival data
Methods for a similarity measure for clinical attributes based on survival data analysis
... the analysis of survival data as they are available for example from clinical ...outcome survival time is often considered the most im- portant measure for the therapy ...the survival ...
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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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An Application of Generalized Entropy Optimization Methods in Survival Data Analysis
... paper, survival data analysis is realized by applying Generalized En- tropy Optimization Methods ...statistical data. For this reason, survival data analysis by GEOD ...
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Change Point Analysis of Survival Data with Application in Clinical Trials
... describes analysis of the Physician’s Health Study for testing the effect of beta-carotene on cancer ...noticeable. Survival times in this example have a higher initial failure rate and a lower failure rate ...
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Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves
... while survival probabilities and medians are simple point ...the data departs more from proportional ...KM data is not to obtain an estimate of the HR, when it is not reported, but instead to allow ...
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Network meta-analysis of survival data with fractional polynomials
... The model fit statistics for the different models are pre- sented in Table 2. The fixed effects Weibull model (p1 = 0) was one of the worst regarding goodness-of-fit. Of the first order fractional polynomial models, the ...
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Individual patient data meta-analysis of survival data using Poisson regression models
... In this paper, our aim was to illustrate an effective alternative to hierarchical Cox models, minimising com- putational issues and providing further interpretational benefits. Through minimal splitting of follow-up ...
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Some statistical methods for the analysis of survival data in cancer clinical trials
... Robust model 4 was applied to data from the ESPAC-3 trial set up to investigate the effect of adjuvant chemotherapy on patients with resectable pancreatic cancer. Of particular interest are the group of patients ...
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Transformation Models for Survival Data Analysis with Applications
... proper survival function S t ( ) with probability 1 − π , the promotion time cure model takes long-term survivors into account by putting a restriction on the cumulative hazard function H t ( ) ...population ...
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Survival Analysis for a Breast Cancer Data Set
... event data in many ...of survival data modeling ...the survival time data of Plasmodium falciparum infections and found that the best fit could be obtained from a para- metric ...
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The Reflected-Shifted-Truncated-Gamma Distribution for Negatively Skewed Survival Data with Application to Pediatric Nephrotic Syndrome
... Interval-censored data arise naturally in many epidemiological and biomedical studies in which subjects undergo examinations ...interval-censored data. Examples of clustered interval-censored data ...
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"Smooth" Inference for Clustered Survival Data
... time-to-event data is that the individuals (subjects, rats, ...correlated survival times. Many multivariate survival analysis models (Lin et ...regression analysis of clustered ...
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Survival and lifetime data analysis with a flexible class of distributions
... We have proposed a flexible class of parametric distributions (LTP) with positive support that can be used for the modelling of survival data. We have shown that some members of this class of distributions ...
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A Study on survival analysis
... sub survival functions which has got strong consistency ...the survival function in the censored data problem can be expressed for finite samples as an explicit function of two empirical sub ...
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Survival Analysis of Microarray Data With Microarray Measurement Subject to Measurement Error
... of the SIMEX method apply to both cases except for the data simulation procedure. The SIMEX method was generalized to handle survival data for which censor- ing is a typical feature by He et al. ...
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Statistical Methods For Censored And Missing Data In Survival And Longitudinal Analysis
... simulated data. The simulated data is generated to resemble the survival curve of historical data, such as that from pilot data or previous ...the survival data, an ...
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Survival analysis tools in genomics research
... for survival- related genomic analysis (Table ...genomic data, which are made publicly available together with rich clinical anno- tations including outcome data ...Several survival ...
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A comparative study of mixture cure model
... Abstract.In survival analysis, there are two types of model, parametric and ...the survival data is described by a known non negative ...fraction. Survival models that take into account ...
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Review Article Insulin-like growth factor binding protein 2 expression and prognosis of glioma patients: a systematic review and meta-analysis
... Insulin-like growth factor binding protein 2 (IGFBP2) is a member of the IGFBP family. It is a secreted protein that binds insulin-like growth factor (IGF)-I and IGF-II [1, 2]. It also functions by binding other kinds of ...
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Arthritis and the risk of falling into poverty: a survival analysis using Australian data
... sensitivity analysis have also shown that those who recently developed arthritis still have a significantly higher risk of falling into income poverty when using a multidimensional ...
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