Resampling-based inference for causal effect estimats in time-to-event analyses

Institut für Medizinische Statistik

The aim of this research proposal is to develop and compare asymptotically correct resampling methods, which can be used to construct confidence intervals and confidence bands for causal parameters like the average treatment effect in regression models for time-to-event data.

Investigator

JProfessor Sarah Friedrich, Department of Medical Statistics

Contact

Gruppenleiterin

Junior-Prof. Dr. Sarah Friedrich

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