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Surgery for high-grade gliomas in a developing country: survival estimation using a simple stratification system
(ELSEVIER SCIENCE INC, 2008)
Background: In spite of great technological advances in diagnostic and therapeutic tools, Survival in patients with HGG has not changed significantly in the last years. Judicious management in each case needs Survival ...
Modeling whole-stand survival in clonal eucalypt stands in Brazil as a function of water availability
(Elsevier B.V., 2019-01-15)
Several approaches for modeling whole-stand survival or mortality have been reported in the literature, although this component is often times neglected for clonal eucalypt stands in Brazil. In addition, the traditional ...
Survival analysis: A consumer-friendly method to estimate the optimum sucrose level in probiotic petit suisse
(American Dairy Science Association, 2015-11)
For years, just-about-right (JAR) scales have been among the most used techniques to obtain sensory information about consumer perception, but recently, some researchers have harshly criticized the technique. The present ...
New contributions to joint models of longitudinal and survival outcomes : two-stage approaches
(2021)
Joint models of longitudinal and survival outcomes have gained much popularity over the last three decades. This type of modeling consists of two submodels, one longitudinal and one survival, which are connected by some ...
Strengthening Population Inference in Herpetofaunal Studies by Addressing Detection Probability
(Soc Brasileira HerpetologiaSao PauloBrasil, 2014)
Genetic and environmental effects on tonic immobility duration of red-winged tinamou applying survival analysis
(2018-04-01)
Fear behavioral studies provide knowledge on animal welfare, and fearful behaviors can be used as selection criteria of individuals adapted to intensive rearing system. The survival analysis methodology was applied to ...
THE LOG-BURR XII REGRESSION MODEL FOR GROUPED SURVIVAL DATA
(TAYLOR & FRANCIS INCPHILADELPHIA, 2012)
The log-Burr XII regression model for grouped survival data is evaluated in the presence of many ties. The methodology for grouped survival data is based on life tables, where the times are grouped in k intervals, and we ...
The Log-Burr XII Regression Model for Grouped Survival Data
(2012)
The log-Burr XII regression model for grouped survival data is evaluated in the presence of many ties. The methodology for grouped survival data is based on life tables, where the times are grouped in k intervals, and we ...
The Log-Burr XII Regression Model for Grouped Survival Data
(Taylor & Francis Group, 2012)
The log-Burr XII regression model for grouped survival data is evaluated in the
presence of many ties. The methodology for grouped survival data is based on life
tables, where the times are grouped in k intervals, and ...