In competing risk settings, the Cox model gives correct HR's if we censor at other event types (i.e. the Cause Specific Model):


Is it valid to use this censoring approach in a sampled nested case control dataset, on which we subsequently fit a conditional logistic regression model? Im guessing that the resulting HR's will be valid estimates under a competing risk setting, since the conditional logistic regression is equivalent to a Cox model with a particular data structure:




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