Non parametric survival analysis
Business Demography Dynamics in Portugal: A Non-Parametric Survival Analysis
... and survival functions, using non-parametric survival ...firm survival, we produced a new entrepreneurship database, using the administrative data of Quadros de Pessoal, following the ...
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Non ignorable missing covariate data in parametric survival analysis
... Our univariate (binary) simulations showed that with high levels of missing data estimates became less reliable and this would not be helped by the increased number of levels if we l[r] ...
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Parametric and semi parametric survival analysis of patients with lung cancer
... [20] Haraguchi S, Koizumi K, Mikami I, Junichi O, Iijima Y, Ibi T, Shimizu K. Clinicopathological characteristics and prognosis of non-small cell lung cancer patients associated with a family history of lung ...
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Application of Parametric, Semi-Parametric and Non-Parametric Survival Models for Myocardial Infarction (Mi) Patients
... of survival analysis, an Accelerated Failure Time Model (AFT model) is a parametric model that is used to analyse the 'disease' which is a result of some mechanical process with a known sequence of ...
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Non-parametric Sequential and Adaptive Designs for Survival Trials
... marginal survival function, by combining es- timates of the conditional survival functions (given the surrogate) weighted by the corresponding response ...interim analysis, is biased (Brannath et ...
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Parametric and Bayesian Modeling of Reliability and Survival Analysis
... assuming non-informative priors (Tsionas, 2001), the estimation on sample percentiles reported by Slifker and Shapiro (1980) and Mage (1980), and the estimation of δ and γ using a similar procedure of the ...
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Recovering the raw data behind a non-parametric survival curve
... In his subsequent pursuit for greater precision, he noticed that when the figure in the ERSPC report is enlarged in Acrobat Reader, the re-drawing takes a surprisingly long time. Even though the total sample size was ...
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Long-term survival following traumatic brain injury: a population-based parametric survival analysis
... on non-informative ...short non-administrative censoring times, have a different prognosis to those who remained until to the end of the ...of survival times in patients lost to follow up demonstrate ...
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Modelling graft survival after kidney transplantation using semi-parametric and parametric survival models
... graft survival in the overall data analysis, which becomes significant when adjusted for other ...graft survival, the outcome of the LT analysis identifies the interaction between recipient ...
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Analysis of survival in breast cancer patients by using different parametric models
... many non- and semi-parametric statistical methods were developed, these methods were not well understood by the medical community due to their ...complexity. Parametric methods were easy to ...
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Parametric Survival Analysis of US Air Force Rated Officer Retention
... Ideally the Air Force would bring in and train the exact number of rated officers they need and none of those officers would separate. However, this is not feasible because of the outside factors that continuously come ...
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Semi and non semi parametric models for reliability analysis
... 2 Department of Statistics, Arignar Anna Government Arts College, Villupuram – 605602 A R T I C L E I N F O A B S T R A C T In this Paper, The purpose of applying the Cox-regression is mainly for comparison between the ...
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Non-Parametric Inference for the Effect of a Treatment on Survival Times with Application in the Health and Social Sciences
... in survival times of potential heart transplant recipients after their acceptance into the Stanford heart transplant ...and survival time must be controlled for when evaluating the effect of heart ...the ...
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Parametric and non-parametric analysis of tax changes
... Despite the magnitude of our data set we need to acknowledge several limitations. Specif- ically, while our data set includes complete location descriptors for each sale and a descriptor on land use code which identifies ...
22
Parametric Survival Models
... S(t, x) = S 0 (t) e x 0 β , so the survivor function for covariates x is the baseline survivor raised to a power. If a subject is exposed to twice the risk of a reference subject at every age, then the probability that ...
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Nonparametric predictive inference with parametric copula for survival analysis
... Abstract. Many real-world problems of statistical inference involve dependent bivariate data including survival analysis. This paper presents new nonparametric methods for predictive inference for ...
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Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data
... Background: It has generally been argued that parametric statistics should not be applied to data with non-normal distributions. Empirical research has demonstrated that Mann-Whitney ge[r] ...
12
On Parametric (and Non-Parametric) Variation
... The theory of PV hypothesizes that the range of choices is ‘antecedently known’, and this basic property correlates with a number of others which distinguish PV from non-parametric variation, and allow us ...
12
Business Demography Dynamics in Portugal: a Semi-parametric Survival Analysis
... and survival functions, using semi-parametric survival analysis for the total economy and its broad ...firm survival, a new entrepreneurship database was produced, using the ...
19
Semi- and non-parametric flood frequency analysis
... The analysis of trends in hydrological time series is motivated by a changing climate and by anthropogenic interference with nature, for instance, the dynamic process of urban- ization during the past ...the ...
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