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Survival analysis models time to event data, typically time to death or failure time. Censored data are a common problem for survival analyses.

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&= y_{0}x^{b} \epsilon \end{align} where $y$ is the real (potentially unknown) survival time, $u$ is the observed survival time (until death or censoring), $x$ is the compound concentration, $z$ is … procedure in survival analysis, and I would be glad to know if/where it is flawed. My dataset is pretty small, so having a simple parametric model is an advantage (provided its assumptions are reasonable) Many thanks. …
asked Aug 29 '17 by citronrose