Presents a neural network model with IPW pseudo-observations for dynamic prediction of alternating recurrent events, with simulation and medical resident mood application results.
Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome , volume=
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When long-term survivors are present in both groups, conventional and non-proportional hazards tests exhibit non-monotonic power as follow-up time increases, whereas correctly specified parametric cure models show monotonic power gains and highest performance at long follow-up.
The paper introduces neural networks by framing them as approximations to linear regression with common customizations for statisticians.
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Dynamic Prediction of Alternating Recurrent Events via Neural Network
Presents a neural network model with IPW pseudo-observations for dynamic prediction of alternating recurrent events, with simulation and medical resident mood application results.
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A comparative study of two-sample hypothesis tests in the presence of long-term survivors
When long-term survivors are present in both groups, conventional and non-proportional hazards tests exhibit non-monotonic power as follow-up time increases, whereas correctly specified parametric cure models show monotonic power gains and highest performance at long follow-up.
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Neural Networks as Linear Regression: An Introduction for Statisticians
The paper introduces neural networks by framing them as approximations to linear regression with common customizations for statisticians.