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Nonparametric Tests for Censored Data
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The completion times for one group seems higher than the completion times for the other, but I'd like a hypothesis test that will let me assess statistical significance. Approaches I've looked at: Should I be using the log-rank test? Most of the completion times are small, in case that is relevant. A Cox proportional hazards model doesn't seem appropriate in my setting, as the data doesn't look exponentially distributed. Is there something else from survival analysis that would solve my problem?
Alternatively, use Mann-Whitney but consider all the people who didn't finish within 1 hour as tied in rank but larger than anyone who finished before then ; this works if the threshold for right censoring is the same for everyone.
Akritas : Rank Tests with Interval-Censored Data
Cox proportional hazards doesn't assume constant hazards -- the hazard can change over time -- so a Cox proportional hazards model should be OK. Home Questions Tags Users Unanswered. Is there a way to do a hypothesis test for this kind of right-censored data?
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If I understand the situation correctly the log-rank should be okay. I see that I read the material about Cox proportional hazards too quickly.
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