Relaxing the assumption of constant transition rates in a multi-state model in hospital epidemiology.

ABSTRACT:

Background

Multi-state models are being increasingly used to capture complex disease pathways. The convenient formula of the exponential multi-state model can facilitate a quick and accessible understanding of the data. However, assuming time constant transition rates is not always plausible. On the other hand, obtaining predictions from a fitted model with time-dependent transitions can be challenging. One proposed solution is to utilise a general simulation algorithm to calculate predictions from a fitted multi-state model.

Methods

Predictions obtained from an exponential multi-state model were compared to those obtained from two different parametric models and to non-parametric Aalen-Johansen estimates. The first comparative approach fitted a multi-state model with transi

SUBMITTER: Hill M 

PROVIDER: S-EPMC7798316 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature