• 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

[给计划使用Cox比例风险模型分析其临床数据的研究人员的解释性文章]

[Explanatory essay for researchers who plan to analyse their clinical data using Cox's proportional hazard model].

作者信息

Hamajima N, Sasaki R, Shibata A, Suzuki S, Tamakoshi A, Aoki K

出版信息

Nihon Gan Chiryo Gakkai Shi. 1989 Mar 20;24(3):579-84.

PMID:2671204
Abstract

Proportional hazard model was proposed by Cox as a multivariate model suitable for evaluation of prognostic factors and/or therapeutic effects. This paper aims at explaining fundamental concepts of the model for clinical researchers, as clear as possible. The relationship between hazard ratio and survival curves is demonstrated using an example of survivals calculated from an exponential function. Usage of computer programme SAS is described in brief for the readers who plan to analyse their own clinical data by this model.

摘要

比例风险模型由考克斯提出,是一种适用于评估预后因素和/或治疗效果的多变量模型。本文旨在尽可能清晰地向临床研究人员解释该模型的基本概念。通过一个由指数函数计算得出的生存示例,展示了风险比与生存曲线之间的关系。对于计划使用该模型分析自身临床数据的读者,简要介绍了计算机程序SAS的用法。

相似文献

1
[Explanatory essay for researchers who plan to analyse their clinical data using Cox's proportional hazard model].[给计划使用Cox比例风险模型分析其临床数据的研究人员的解释性文章]
Nihon Gan Chiryo Gakkai Shi. 1989 Mar 20;24(3):579-84.
2
[Hazard ratio estimated from a proportional hazard model including two strongly correlated prognostic factors].[从包含两个强相关预后因素的比例风险模型估计的风险比]
Nihon Gan Chiryo Gakkai Shi. 1989 May 20;24(5):1015-9.
3
Prognostic factors in multiple myeloma: selection using Cox's proportional hazard model.
Biomed Pharmacother. 1996;50(1):29-35. doi: 10.1016/0753-3322(96)85095-5.
4
Comparison of Cox's and relative survival models when estimating the effects of prognostic factors on disease-specific mortality: a simulation study under proportional excess hazards.在估计预后因素对疾病特异性死亡率的影响时Cox模型与相对生存模型的比较:比例超额风险下的模拟研究
Stat Med. 2005 Dec 30;24(24):3887-909. doi: 10.1002/sim.2392.
5
Fitting semiparametric additive hazards models using standard statistical software.使用标准统计软件拟合半参数加法风险模型。
Biom J. 2007 Aug;49(5):719-30. doi: 10.1002/bimj.200610349.
6
Confidence intervals for the survival function using Cox's proportional-hazard model with covariates.使用带有协变量的Cox比例风险模型的生存函数的置信区间。
Biometrics. 1984 Sep;40(3):601-9.
7
Reformulating the hazard ratio to enhance communication with clinical investigators.重新构建风险比以加强与临床研究人员的沟通。
Clin Trials. 2008;5(3):248-52. doi: 10.1177/1740774508091452.
8
A SAS macro for parametric and semiparametric mixture cure models.用于参数和半参数混合治愈模型的SAS宏。
Comput Methods Programs Biomed. 2007 Feb;85(2):173-80. doi: 10.1016/j.cmpb.2006.10.008. Epub 2006 Dec 8.
9
Prognostic variables and prognostic groups for malignant melanoma. The information from Cox and Classification And Regression Trees analysis: an Italian population-based study.恶性黑色素瘤的预后变量和预后分组。来自Cox模型及分类与回归树分析的信息:一项基于意大利人群的研究。
Melanoma Res. 2006 Oct;16(5):429-33. doi: 10.1097/01.cmr.0000222602.80803.e1.
10
Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.左截断和右删失情况下特定病因累积发病率估计及精细灰色模型
Biometrics. 2011 Mar;67(1):39-49. doi: 10.1111/j.1541-0420.2010.01420.x.

引用本文的文献

1
The Association of Coagulation Indicators and Coagulant Agents With 30-Day Mortality of Critical Diabetics.凝血指标和凝血剂与重症糖尿病患者 30 天死亡率的关联。
Clin Appl Thromb Hemost. 2021 Jan-Dec;27:10760296211026385. doi: 10.1177/10760296211026385.