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Nonparametric Inference in Accelerated Failure Time Model

Comparing two survival curves in randomized controlled trials using the Accelerated Failure Time (AFT) model can be done nonparametrically to avoid assumptions about the underlying survival distribution. This approach involves utilizing the Louis estimator and the Restricted Means-Based estimator, both of which offer efficient ways to estimate parameters in the AFT model. A simulation study and an example from a clinical trial on head and neck cancer demonstrate the application and performance of these estimators.

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Nonparametric Inference in Accelerated Failure Time Model

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