Time-varying coefficientThe nested case鈥揷ontrol (NCC) design is a cost-effective sampling method to study the relationship between a disease and its risk factors in epidemiologic studies. NCC data are commonly analyzed using Thomas' partial likelihood approach under Cox's proportional hazards model...
As an application of this concept, a statistical time-varying model is developed and the prediction performance is compared against its static counterpart (time-invariant model). The proposed approach is able to capture the ISMR anomalies and successfully predicts the severe drought years too. ...
The results indicate that the post-positive-warning price patterns are unlikely to be driven by the size effect, as the coefficient /2 carries a positive, rather than the predicted negative, sign for all post-event CARs except for AR1 (significant at the 5% level) and CAR4 (statistically ...
The multivariate Cox proportional hazard (CPH) model [6] is the most frequently used statistical-based method for risk prediction, but its performance is somewhat limited by the linearity of the functional form assumed in the partial hazard (exponential) part [7,8]. By contrast, deep learning-...