Based on the predicted model, survival probabilities are calculated for a new individual with specific covariate values. The new.x specifies the covariate vector in the GORH model for the new individual. If no values are specified, zeros will be used and the baseline survival probabilities are returned.
The Generalized Odds Rate Hazards model is fitted for interval censored survival data. The EM algorithm facilitated by a gamma-poisson data augmentation is applied for estimating the coefficients in the model. The covariance matrix has closed forms based on the Louis method.
Generalized Odds Rate Hazards (GORH) model is a flexible survival model which includes the Proportional Hazards (PH) model and the Proportional Odds (PO) model as special cases. When the survival data is interval censored, this package provides an efficient solution for the GORH model based on a gamma-possion data augmentation.
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