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Health insurance status and cancer stage at diagnosis and survival in the United States
Ca-A Cancer Journal for Clinicians, 2022Leticia Nogueira +2 more
exaly
Discrete-Time Survival Analysis in Prevention Science
2014Survival analysis refers to the general set of statistical methods developed specifically to model the timing of events. This chapter concerns a subset of those methods that deals with events measured or occurring in discrete-time or grouped-time intervals, sometimes referred to as event history analysis.
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Impact of time series discretization on intensive care burn unit survival classification
Progress in Artificial Intelligence, 2017José A Lorente +2 more
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Supervised discretization can discover risk groups in cancer survival analysis
Computer Methods and Programs in Biomedicine, 2016Alba E, José M Jerez
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