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An application of discrete time survival models to analyze student dropouts at a private university in Peru

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Academic year: 2017

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Figure

Figure 2.1: Continuous and discrete intervals
Figure 2.2: Mechanisms of censoring. Arrow 1: Start and end time known. Arrow 2: End time outsidethe observation period (right-censored observation)
Figure 2.3: Proportionality hazard assumption in the Cox model: In this example two hazard functions(for two types of individuals) are shown, they are proportional along time.
Figure 2.4: Proportionality Logit assumption in the logistic model. In this example two Logit(hazard)functions (for two types of individuals) are shown, they are proportional along time.
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