Software Tools for Time-to-Event Analyses in Clinical Trials
Time-to-event data is unique due to censoring, variable follow-up times, and the need for visual survival curves. The right software can:
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Survival Analysis
Handling Non-Proportional Hazards in Survival Analysis for Clinical Trials
The Cox proportional hazards model assumes that the ratio of hazard functions between treatment groups is constant over time. This implies that survival curves should not cross and that the treatment effect is consistent throughout follow-up.
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