All analyses started by including all the available variables that were hypothesised to have an influence on costs.
In this study, we explore if it is beneficial to combine various data types, on a large scale, by using all of the available variables for ADE detection, and also how best to represent them.
To make informative estimation and inference feasible, we require that the overall contribution of the time-varying variables after eliminating the individual specific heterogeneity can be captured by a relatively small number of the available variables whose identities are unknown.
By default, this number is the total number of variables in the dataset; so the best model could, a priori, include all the available variables.
For a given event and missing data, the available variable that was most highly correlated with the missing particular sample of the variable of interest was used.
Moreover, multi-parametric models showed that the proteomic signature based on the epithelial and stromal expression of POSTN indeed added to the prognostic information provided by the currently available variables, including the Gleason score.
Adjusting for all available covariates did not suggest any residual confounding by the additional available variables and minimal change in precision of the estimated effects.
Then a predictor-rich model was used to test if biocrust cover remained statistically significant after maximum variation was accounted for by other available variables.
After the jackknife procedure, the final HFRS prediction was executed again by GARP, using available variables.
Each time, the chain is initialized by one of the available K variables.
