Results 1 to 10 of about 4,636,420 (247)

Survival trees for interval‐censored survival data [PDF]

open access: yesStatistics in Medicine, 2017
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
openaire   +3 more sources

Benchmarking survival outcomes: A funnel plot for survival data [PDF]

open access: yesStatistical Methods in Medical Research, 2022
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
openaire   +6 more sources

Statistical Analysis of Survival Data [PDF]

open access: yesAnnual Review of Public Health, 1984
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
openaire   +2 more sources

Goodness-of-fit criteria for survival data [PDF]

open access: yes, 2004
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.
core   +2 more sources

Attributable fractions with survival data [PDF]

open access: yesStatistics in Medicine, 2007
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
openaire   +2 more sources

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]

open access: yes, 2015
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
core   +4 more sources

Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]

open access: yes, 2008
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
core   +1 more source

Predictors of survival in a cohort of patients with polymyositis and dermatomyositis: effect of corticosteroids, methotrexate and azathioprine [PDF]

open access: yes, 2012
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
core   +3 more sources

Dobutamine stress MRI in pulmonary hypertension: relationships between stress pulmonary artery relative area change, RV performance, and 10-year survival [PDF]

open access: yes, 2017
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
core   +1 more source

A validation of the Oswestry Spinal Risk Index [PDF]

open access: yes, 2016
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
core   +1 more source

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