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Our aim is to develop a rich and coherent framework for modeling correlated time‐to‐event data, including (1) survival regression models with different links and (2) flexible modeling for time‐dependent and nonlinear effects with rich postestimation. We extend the class of generalized survival models, which expresses a transformed survival in terms of a linear predictor, by incorporating a shared...
We developed a new classification approach in this paper to compare two active treatments. This approach is especially useful when there is no prior judgment on which treatment is better and the traditional hypothesis testing approach is thus not applicable. Our method classifies all the possible outcomes into categories and draws conclusions on the difference in the outcome measurement between two...
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