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Estimating Cure Rates From Survival Data: An Alternative to Two-Component Mixture Models.从生存数据估计治愈率:双组分混合模型的替代方法
J Am Stat Assoc. 2003 Dec 1;98(464):1063-1078. doi: 10.1198/01622145030000001007.
2
Racial disparities in cancer survival among randomized clinical trials patients of the Southwest Oncology Group.西南肿瘤协作组随机临床试验患者中癌症生存率的种族差异。
J Natl Cancer Inst. 2009 Jul 15;101(14):984-92. doi: 10.1093/jnci/djp175. Epub 2009 Jul 7.
3
A Cox-type regression model with change-points in the covariates.协变量中带有变化点的Cox型回归模型。
Lifetime Data Anal. 2008 Sep;14(3):267-85. doi: 10.1007/s10985-008-9083-3. Epub 2008 Jan 26.
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Racial differences in prostate cancer treatment outcomes: a systematic review.前列腺癌治疗结果的种族差异:一项系统综述。
Cancer Nurs. 2005 Mar-Apr;28(2):108-18. doi: 10.1097/00002820-200503000-00004.
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Cancer disparities by race/ethnicity and socioeconomic status.按种族/族裔和社会经济地位划分的癌症差异。
CA Cancer J Clin. 2004 Mar-Apr;54(2):78-93. doi: 10.3322/canjclin.54.2.78.
6
Racial/ethnic disparities in the treatment of localized/regional prostate cancer.局限性/区域性前列腺癌治疗中的种族/民族差异。
J Urol. 2004 Apr;171(4):1504-7. doi: 10.1097/01.ju.0000118907.64125.e0.
7
Early prostate cancer: clinical decision-making.早期前列腺癌:临床决策
Lancet. 2003 Mar 22;361(9362):1045-53. doi: 10.1016/S0140-6736(03)12833-4.
8
Effect of young age on prostate cancer survival: a population-based assessment (United States).年轻对前列腺癌生存的影响:基于人群的评估(美国)
Cancer Causes Control. 2002 Jun;13(5):435-43. doi: 10.1023/a:1015764507609.
9
Racial and ethnic differences in advanced-stage prostate cancer: the Prostate Cancer Outcomes Study.晚期前列腺癌的种族和民族差异:前列腺癌结局研究
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10
Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians.自助法置信区间:何时使用、选用哪种、是什么?医学统计学家实用指南。
Stat Med. 2000 May 15;19(9):1141-64. doi: 10.1002/(sici)1097-0258(20000515)19:9<1141::aid-sim479>3.0.co;2-f.

改变点治愈模型及其在估计前列腺癌患者诊断年龄的改变点效应中的应用。

Change point-cure models with application to estimating the change-point effect of age of diagnosis among prostate cancer patients.

作者信息

Othus Megan, Li Yi, Tiwari Ram

机构信息

1100 Fairview Ave N, M3-C102, PO Box 19024, Seattle WA 98117-1024, USA.

出版信息

J Appl Stat. 2012;39(4):901-911. doi: 10.1080/02664763.2011.626849. Epub 2012 Mar 12.

DOI:10.1080/02664763.2011.626849
PMID:22544992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3337711/
Abstract

Previous research on prostate cancer survival trends in the United States National Cancer Institute's Surveillance Epidemiology and End Results database has indicated a potential change-point in the age of diagnosis of prostate cancer around age 50. Identifying a change-point value in prostate cancer survival and cure could have important policy and health care management implications. Statistical analysis of this data has to address two complicating features: (1) change-point models are not smooth functions and so present computational and theoretical difficulties; and (2) models for prostate cancer survival need to account for the fact that many men diagnosed with prostate cancer can be effectively cured of their disease with early treatment. We develop a cure survival model that allows for change-point effects in covariates to investigate a potential change-point in the age of diagnosis of prostate cancer. Our results do not indicate that age under 50 is associated with increased hazard of death from prostate cancer.

摘要

此前对美国国立癌症研究所监测、流行病学和最终结果数据库中前列腺癌生存趋势的研究表明,前列腺癌诊断年龄在50岁左右可能存在一个变化点。确定前列腺癌生存和治愈方面的变化点值可能对政策和医疗管理具有重要意义。对这些数据进行统计分析必须解决两个复杂特征:(1)变化点模型不是平滑函数,因此存在计算和理论难题;(2)前列腺癌生存模型需要考虑到许多被诊断出前列腺癌的男性通过早期治疗可以有效治愈这一事实。我们开发了一种治愈生存模型,该模型允许协变量存在变化点效应,以研究前列腺癌诊断年龄的潜在变化点。我们的结果并未表明50岁以下的年龄与前列腺癌死亡风险增加有关。