
Random forests can effectively predict continuous, categorical, or survival outcomes using a combination of time-fixed and time-dependent predictors, handling issues such as endogenous predictors, measurement error, and irregular measurement times.


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predicting-outcomes-in-primary-biliary-cholangitis-using-random-forests-with-time-fixed-and-time-dependent-predictors


Predicting Outcomes in Primary Biliary Cholangitis Using Random Forests with Time-Fixed and Time-Dependent Predictors
