A Multidimensional Array Representation of State-Transition Model Dynamics.

ABSTRACT: Cost-effectiveness analyses often rely on cohort state-transition models (cSTMs). The cohort trace is the primary outcome of cSTMs, which captures the proportion of the cohort in each health state over time (state occupancy). However, the cohort trace is an aggregated measure that does not capture information about the specific transitions among health states (transition dynamics). In practice, these transition dynamics are crucial in many applications, such as incorporating transition rewards or computing various epidemiological outcomes that could be used for model calibration and validation (e.g., disease incidence and lifetime risk). In this article, we propose an alternative approach to compute and store cSTMs outcomes that capture both state occupancy and transition dynamics. This ap

SUBMITTER: Krijkamp EM 

PROVIDER: S-EPMC7065927 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature