Results 21 to 30 of about 4,691,817 (292)
GMS German Medical Science, 2015 Introduction: For survival data the coefficient of determination cannot be used to describe how good a model fits to the data. Therefore, several measures of explained variation for survival data have been proposed in recent years.Methods: We analyse an ...
Weiß, Verena +2 more
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COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA
Barekeng, 2023 Survival analysis is a statistical procedure in analyzing data with the response variable is time until an event occurs (time-to-event). In the last few years, many classification approaches have been developed in machine learning, but only a few ...
Ni Gusti Ayu Putu Puteri Suantari +2 more
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Copula Functions for Spatial Survival Data Analysis [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 Many survival data analyses aim to assess the effect of different risk factors on survival time. In some studies, the survival times are correlated, and the dependence between survival times is related to their spatial locations.
Mohsen Mohammadzadeh +2 more
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Alkaline Water and Longevity: A Murine Study [PDF]
, 2016 The biological effect of alkaline water consumption is object of controversy. The present paper presents a 3-year survival study on a population of 150 mice, and the data were analyzed with accelerated failure time (AFT) model.
Baratella, Davide +8 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]
, 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
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A Model for the Analysis of Caries Occurrence in Primary Molar Tooth Surfaces [PDF]
, 2012 Recently methods of caries quantification in the primary dentition have moved away from summary ‘whole mouth’ measures at the individual level to methods based on generalised linear modelling (GLM) approaches or survival analysis approaches. However, GLM
Baelum V +29 more
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Statistical Analysis of Survival Data [PDF]
Annual 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
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Failure-Time with Delayed Onset
Revstat Statistical Journal, 2015 A special distribution is suggested for the analysis of survival data in which there is a long random delay before the onset of the terminal process. Estimation by the method of moments and by maximum likelihood is compared.
Man Yu Wong , D.R. Cox
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A validation of the Oswestry Spinal Risk Index [PDF]
, 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
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Attributable fractions with survival data [PDF]
Statistics 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
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