Markov Cohort State-Transition Model: A Multinomial Distribution Representation
- PMID: 35838344
- DOI: 10.1177/0272989X221112420
Markov Cohort State-Transition Model: A Multinomial Distribution Representation
Abstract
A Markov model simulates the average experience of a cohort of patients.Monte Carlo simulation, the standard approach for estimating the variance, is computationally expensive.A multinomial distribution provides an exact representation of a Markov model.Using the known formulas of a multinomial distribution, the mean and variance of a Markov model can be readily calculated.
Keywords: cohort model; cost-effectiveness analysis; decision-analytic model; markov model; state-transition model.