We investigate two statistical approaches for analyzing the relationship between the proposed stages of bipolar disorder: 1) the early stages are considered as time-varying covariates affecting the hazard of bipolar disorder in a Cox proportional hazards model, 2) the early stages are explicitly modelled as states in a non-parametric multi-state model.
Any-stage AKI and stage-3 AKI were modelled using separate logistic regression models.
This agrees with the observed population structure, where the overall mean proportion of the modelled stage-classes (i.e. juveniles, subadults and adults) was 20%, 27%and53%3%, respectively.
In this paper a small-scale two-stage axial turbine is modelled and compared with a single-stage axial turbine, with the aim of enhancing the ORC performance by increasing its pressure ratio.
More recently the costs of CRC stage-specific treatment were modelled including combination and/or sequence of treatments [26, 52, 70, 75].
Modelled disease stages included: CHB without cirrhosis, CHB with cirrhosis, CHB with liver failure, CHB and HCC, spontaneous HBsAg clearance, CHB-related death (due to liver failure or HCC) and death from other causes.
Ideally, in a model-aggregation framework specific detection rates by group of transmission and stage of disease would be modelled separately, but this will only be feasible for those contexts with highly detailed case-report data and evidence of differential HIV detection and linkage to care.
Prostate cancer was treated as a special case and modelled in two stages; first, for years of diagnosis between 1992 and 1999 and second, for all years before 1992.
The adaptation stage for maximum power transfer is modelled in detail.
The outcomes of infection were modelled according to the stage of pregnancy at time of infection.
