Survival trees for interval‐censored survival data [PDF]
Interval‐censored data, in which the event time is only known to lie in some time interval, arise commonly in practice, for example, in a medical study in which patients visit clinics or hospitals at prescheduled times and the events of interest occur between visits.
Wei Fu, Jeffrey S. Simonoff
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Benchmarking survival outcomes: A funnel plot for survival data [PDF]
Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot is a popular tool in visualizing the performance of a healthcare center in relation to other centers and to a target, taking into account statistical uncertainty.
Putter, H. +7 more
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Statistical Analysis of Survival Data [PDF]
A general review of the statistical techniques that the authors feel are most important in the analysis of survival data is presented. The emphasis is on the study of the duration of time between any two events as applied to people and on the nonparametric and semiparametric models most often used in these settings. The unifying concept is the hazard
J, Crowley, N, Breslow
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Goodness-of-fit criteria for survival data [PDF]
The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to R^2 in linear regression is difficult due to censored observations.
Müller, M.
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Attributable fractions with survival data [PDF]
AbstractAttributable fraction (AF) is an important concept in clinical and epidemiological studies. The concept has mainly been discussed in relation to case–control studies, cross‐sectional studies, and follow‐up studies of fixed length. Here, we propose and discuss several ways of defining and estimating AFs with right‐censored survival data, and ...
Sven Ove, Samuelsen, Geir Egil, Eide
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Effects of growth rate, size, and light availability on tree survival across life stages: a demographic analysis accounting for missing values and small sample sizes. [PDF]
The data set supporting the results of this article is available in the Dryad repository, http://dx.doi.org/10.5061/dryad.6f4qs. Moustakas, A. and Evans, M. R.
A Matossian +72 more
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Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]
During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Fahrmeir, Ludwig +2 more
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Predictors of survival in a cohort of patients with polymyositis and dermatomyositis: effect of corticosteroids, methotrexate and azathioprine [PDF]
Introduction: The idiopathic inflammatory myopathies are rare diseases for which data regarding the natural history, response to therapies and factors affecting mortality are needed.
Crofford, Leslie J. +4 more
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Dobutamine stress MRI in pulmonary hypertension: relationships between stress pulmonary artery relative area change, RV performance, and 10-year survival [PDF]
In pulmonary hypertension (PH), right ventricular (RV) performance determines survival. Pulmonary artery (PA) stiffening is an important biomechanical event in PH and also predicts survival based on the PA relative area change (RAC) measured at rest ...
Bellofiore, Alessandro +6 more
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A validation of the Oswestry Spinal Risk Index [PDF]
Purpose The purpose of this study was to validate the Oswestry Spinal Risk Index (OSRI) in an external population. The OSRI predicts survival in patients with metastatic spinal cord compression (MSCC).
A Leithner +21 more
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