What question did this study set out to answer?

To validate a regression model for survival outcomes in childhood acute lymphocytic leukemia using bootstrap techniques.

The bootstrap and identification of prognostic factors via cox's proportional hazards regression model

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Randomized trial identifies prognostic factors in childhood leukemia, indicating a valid survival model.

To validate a regression model for survival outcomes in childhood acute lymphocytic leukemia using bootstrap techniques.
Defined a prognostic model using Cox's proportional hazards model on a training set of 224 patients.
Employed a stepwise regression procedure with 100 bootstrap samples to identify important prognostic factors.
Estimated regression parameters for these factors using 400 bootstrap samples.
The bootstrap technique validated the prognostic model for survival in childhood acute lymphocytic leukemia.
Key prognostic factors were identified and confirmed through the regression model.
The results indicate that the constructed model is reasonable and applicable to the broader patient population.

Chen et al. (1985) studied this question.

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