Comparison of the flexible parametric survival model and Cox model in estimating Markov transition probabilities using real-world data.

ABSTRACT: BACKGROUND AND OBJECTIVE:Markov micro-simulation models are being increasingly used in health economic evaluations. An important feature of the Markov micro-simulation model is its ability to consider transition probabilities of heterogeneous subgroups with different risk profiles. A survival analysis is generally performed to accurately estimate the transition probabilities associated with the risk profiles. This study aimed to apply a flexible parametric survival model (FPSM) to estimate individual transition probabilities. MATERIALS AND METHODS:The data were obtained from a cohort study investigating ischemic stroke outcomes in Western China. In total, 585 subjects were included in the analysis. To explore the goodness of fit of the FPSM, we compared the estimated hazard ratios and base

SUBMITTER: Du X 

PROVIDER: S-EPMC6104919 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature