• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[Nonlinear regression analysis of cardiac enzyme kinetic model with modified simplex method and DUD method using SAS software].

作者信息

Liu Lei, Cai Zhan-yu, Wang Bin-hui

机构信息

Department of Cardiology, Zhujiang Hospital, First Military Medical University, Guangzhou 510282, China.

出版信息

Di Yi Jun Yi Da Xue Xue Bao. 2003 Aug;23(8):809-11.

PMID:12919905
Abstract

OBJECTIVE

To compare the efficacy of modified simplex method and DUD method using SAS software for nonlinear regression analysis of cardiac enzyme kinetic model.

METHOD

By using cardiac enzyme kinetic one-compartment mathematical model, nonlinear regression results obtained from DUD methods using SAS software and modified simplex method were compared with the same starting values to fit the creatine kinase curves in 22 patients with acute myocardial infarction.

RESULTS

The parameters calculated by DUD method and modified simplex method were the same in 4 cases, and smaller least square was resulted from DUD method in 4 cases. In the other 14 cases, modified simplex method yielded smaller least square. The mean value of the least square calculated by modified simplex method was less than that by DUD method (867 747 vs 6 712 989, P=0.013).

CONCLUSION

Modified simplex method appears to be more adequate than DUD method in estimating circulatory parameters of the one-compartment model.

摘要

相似文献

1
[Nonlinear regression analysis of cardiac enzyme kinetic model with modified simplex method and DUD method using SAS software].
Di Yi Jun Yi Da Xue Xue Bao. 2003 Aug;23(8):809-11.
2
CotQuest: improved algorithm and software for nonlinear regression analysis of DNA reassociation kinetics data.
Anal Biochem. 2009 May 15;388(2):322-30. doi: 10.1016/j.ab.2009.03.007. Epub 2009 Mar 12.
3
A statistical method for the analysis of nonlinear temperature time series from compost.一种用于分析堆肥非线性温度时间序列的统计方法。
Bioresour Technol. 2008 Apr;99(6):1886-95. doi: 10.1016/j.biortech.2007.03.061. Epub 2007 Nov 7.
4
[Exact logistic regression and its performance to SAS system].[精确逻辑回归及其在SAS系统中的性能]
Zhonghua Liu Xing Bing Xue Za Zhi. 2003 Aug;24(8):725-8.
5
Combined genetic algorithm and multiple linear regression (GA-MLR) optimizer: Application to multi-exponential fluorescence decay surface.组合遗传算法与多元线性回归(GA-MLR)优化器:在多指数荧光衰减表面的应用。
J Phys Chem A. 2006 Dec 7;110(48):12977-85. doi: 10.1021/jp063998e.
6
Easy-to-use, accurate and flexible individualized Bayesian limited sampling method without fixed time points for ciclosporin monitoring after liver transplantation.一种易于使用、准确且灵活的个体化贝叶斯有限采样方法,用于肝移植后环孢素监测,无需固定时间点。
Aliment Pharmacol Ther. 2005 Mar 1;21(5):549-57. doi: 10.1111/j.1365-2036.2005.02364.x.
7
Presence and extent of cardiac magnetic resonance microvascular obstruction in reperfused non-ST-elevated myocardial infarction and correlation with infarct size and myocardial enzyme release.再灌注的非ST段抬高型心肌梗死中心肌磁共振微血管阻塞的存在、范围及其与梗死面积和心肌酶释放的相关性
Cardiology. 2009;113(1):50-8. doi: 10.1159/000167042. Epub 2008 Nov 4.
8
Prediction of enzyme kinetic parameters based on statistical learning.基于统计学习的酶动力学参数预测
Genome Inform. 2006;17(1):80-7.
9
Comparison of linear and nonlinear analysis in estimating the Thomas model parameters for methylene blue adsorption onto natural zeolite in fixed-bed column.固定床柱中天然沸石对亚甲基蓝吸附的托马斯模型参数估计中线性分析与非线性分析的比较
J Hazard Mater. 2007 Jun 25;145(1-2):331-5. doi: 10.1016/j.jhazmat.2006.12.027. Epub 2006 Dec 16.
10
Low dose gadobenate dimeglumine for imaging of chronic myocardial infarction in comparison with standard dose gadopentetate dimeglumine.低剂量钆布醇与标准剂量钆喷酸葡胺用于慢性心肌梗死成像的比较
Invest Radiol. 2009 Feb;44(2):95-104. doi: 10.1097/RLI.0b013e3181911eab.