PsN-Toolkit - A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM
PsN-Toolkit - A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM
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DOI：
10.1016/j.cmpb.2005.04.005
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发表时间：
2005-09-01
影响因子：
6.1
通讯作者：
Jonsson, N
中科院分区：
文献类型：
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作者：
Lindbom, L;Pihlgren, P;Jonsson, N
PSN-TOOLKIT是使用非线性混合效应建模软件NONMEM进行药物计量数据分析的统计工具的集合。该工具包是面向对象的，使用编程库PERT-SPEAKS-NONMEM(PSN)用编程语言PERT编写。五种方法：Bootstrap法、刀切法、对数似然分析法、病例删除诊断法和逐步协变量模型构建法作为单独的类包含在内，可以在用户编写的PERT脚本中使用，也可以通过独立的命令行应用程序使用。这些工具的设计具有合作能力，并强调工作流程和结果处理的共同结构。在共享内存多处理器(SMP)计算机、MoSix/OpenMoSix集群和遵循NorduGrid标准的分布式计算环境上，支持并行执行独立的工具节。总之，PSN-TOOLKIT使Bootstrap、刀刃、对数似然分析、病例删除诊断和逐步建立协变量模型在药物计量数据分析中的使用变得更容易。(C)2005爱思唯尔爱尔兰有限公司。保留所有权利。
PsN-Toolkit is a collection of statistical tools for pharmacometric data analysis using the non-linear mixed effect modeling software NONMEM. The toolkit is object oriented and written in the programming language Pert using the programming Library Pert-speaks -NONMEM (PsN). Five methods: the Bootstrap, the Jackknife, Log-likelihood Profiling, Case-deletion Diagnostics and Stepwise Covariate Model building are included as separate classes and may be used in user-written Pert scripts or through stand-alone command line applications. The tools are designed with the ability to cooperate and with an emphasis on common structures for workflow and result handling. Parallel execution of independent tool sections is supported on shared memory multiprocessor (SMP) computers, Mosix/openMosix clusters and distributed computing environments following the NorduGrid standard. In conclusion, PsN-Toolkit makes it easier to use the Bootstrap, the Jackknife, Log-likelihood Profiling, Case-deletion Diagnostics and Stepwise Covariate Model building in pharmacometric data analysis. (c) 2005 Elsevier Ireland Ltd. All rights reserved.