期刊文献+

最小化随机分组系统支持多治疗组分组的方法设计 被引量:3

A random allocation system with minimization designing for web-supported multi-treatment-allocation groups
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摘要 目的:使最小化随机分组系统支持多治疗组分组。方法:以Pocoek and Simon最小化随机化法作为分组的理论基础,使用面向对象的数据库设计方法,以ASP(Active Server Pages)编程实现。结果:该方法理论上支持包含任意个数治疗组的临床试验使用最小化随机分组算法进行分组。设计一个包含3因素8水平的临床试验,模拟60个病例数据并将其分别分为3组和4组,分组结果在治疗组间均衡,而且不需要额外编写程序。结论:该方法使最小化随机分组系统可以应用在多治疗组或者两个治疗组中包含不等比例病例数的临床试验中。 Objective: To develop a random allocation system with minimization method used to perform precise and rapid treatment assignments in multi-treatment groups. Methods: This system is designed to run on a generic database schema according to Pocock and Simon's minimization random method and active server pages (ASP) programming technique. Results: This study provided a sophisticated system for supporting random allocation of patients to arbitrary number of treatment groups. The randomized treatment assignments with this system was successfully to balance patients' numbers for eight levels of three prognostic factors over an entire trial and at the same time balance the allocation of 60 simulating patients data within 3 and 4 treatment groups. This system was being used effectively in assignments of treatment groups of sequential randomized clinical trials without further programming in China. Conclu- sion: This system has the potential to make m:n ratio of patients minimized in the randomized multior two-treatment arms of clinical trials.
出处 《中国新药杂志》 CAS CSCD 北大核心 2006年第18期1583-1586,共4页 Chinese Journal of New Drugs
关键词 最小化 中心随机化 多治疗组 数据库 minimization centralized randomization multi-treatment database
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参考文献7

  • 1SCHULZ KF,GRIMES DA.Generation of allocation sequences in randomised trials:chance,not choice[J].Lancet,2002,359(9305):515 -519.
  • 2SCOTT NW,MCPHERSON GC,RAMSAY CR,et al.The method of minimization for allocation to clinical trials[J].Control Clin Trials,2002,23(6):662 -674.
  • 3POCOCK SJ,SIMON R.Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial[J].Biometrics,1975,31:103-115.
  • 4HAGINO A,HAMADA C,YOSHIMURA I,et al.Statistical comparison of random allocation methods in cancer clinical trials[J].Control Clin Trials,2004,25(6):572 -584.
  • 5TREASURE T,MACRAE KD.Minimisation:the platinum standard for trials? Randomisation doesn't guarantee similarity of groups;minimisation does[J].BMJ,1998,317(7155):362 -363.
  • 6蔡宏伟,夏结来,徐德忠,高东怀,张迎.基于网络的最小化随机分组系统[J].第四军医大学学报,2004,25(14):1278-1280. 被引量:5
  • 7MCENTEGART DJ.The pursuit of balance using stratified and dynamic randomization techniques:an overview[J].Drug Inf J,2003,37 (3):293-308.

二级参考文献5

  • 1Treasure T, MacRae KD. Minimisation: The platinum standard for trials? Randomisation doesn't guarantee similarity of groups; minimisation does [J]. BMJ, 1998;317(7155):362-363.
  • 2Schulz KF, Grimes DA. Generation of allocation sequences in randomised trials: Chance, not choice [J]. Lancet, 2002;359(9305):515-519.
  • 3Scott NW, McPherson GC, Ramsay CR, et al. The method of minimization for allocation to clinical trials: A review [J]. Control Clin Trials, 2002 ;23 (6): 662-674.
  • 4Green H, McEntegart DJ, Byrom B, et al. Minimization in crossover trials with non-prognostic strata: Theory and practical application[J]. J Clin Pharm Ther, 2001 ;26(2):121-128.
  • 5Pocock S J, Simon R. Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial [J]. Biometrics,1975 ;31:103-115.

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