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蒙特卡洛模拟简介。

A brief introduction to Monte Carlo simulation.

作者信息

Bonate P L

机构信息

Clinical Pharmacokinetics, Quintiles, Kansas City, Missouri 64134, USA.

出版信息

Clin Pharmacokinet. 2001 Jan;40(1):15-22. doi: 10.2165/00003088-200140010-00002.

DOI:10.2165/00003088-200140010-00002
PMID:11236807
Abstract

Simulation affects our life every day through our interactions with the automobile, airline and entertainment industries, just to name a few. The use of simulation in drug development is relatively new, but its use is increasing in relation to the speed at which modern computers run. One well known example of simulation in drug development is molecular modelling. Another use of simulation that is being seen recently in drug development is Monte Carlo simulation of clinical trials. Monte Carlo simulation differs from traditional simulation in that the model parameters are treated as stochastic or random variables, rather than as fixed values. The purpose of this paper is to provide a brief introduction to Monte Carlo simulation methods.

摘要

模拟通过我们与汽车、航空和娱乐行业等的互动,每天都在影响着我们的生活,这里仅举几个例子。模拟在药物研发中的应用相对较新,但随着现代计算机运行速度的提高,其应用正在增加。药物研发中一个著名的模拟例子是分子建模。药物研发中最近出现的另一种模拟应用是临床试验的蒙特卡洛模拟。蒙特卡洛模拟与传统模拟的不同之处在于,模型参数被视为随机变量,而不是固定值。本文的目的是简要介绍蒙特卡洛模拟方法。

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A mixture model for longitudinal data with application to assessment of noncompliance.
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Antibiotics (Basel). 2025 Mar 27;14(4):347. doi: 10.3390/antibiotics14040347.
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Sampling from covariate distribution may not always be necessary in PK/PD simulations: illustrative examples with antibiotics.在药代动力学/药效学(PK/PD)模拟中,并非总是需要从协变量分布中进行抽样:以抗生素为例进行说明。
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