马尔可夫队列状态转移模型:一种多项分布表示。

IF 3.1 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Medical Decision Making Pub Date : 2023-01-01 DOI:10.1177/0272989X221112420

Rowan Iskandar, Cassandra Berns

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引用次数: 0

摘要

一个马尔可夫模型模拟了一群病人的平均经历。蒙特卡罗模拟是估计方差的标准方法，计算成本很高。多项分布提供了马尔可夫模型的精确表示。利用已知的多项分布公式，可以很容易地计算出马尔可夫模型的均值和方差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Markov Cohort State-Transition Model: A Multinomial Distribution Representation.

Highlights: 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.

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来源期刊

Medical Decision Making 医学-卫生保健

CiteScore

6.50

自引率

5.60%

发文量

146

审稿时长

6-12 weeks

期刊介绍： Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.