RWD-INTEGRATED RANDOMIZED CLINICAL TRIAL ANALYSIS.
作者信息
Yang Shu, Wang Xiaofei
机构信息
North Carolina State University.
Duke University.
出版信息
Biopharm Rep. 2022 Summer;29(2):15-21.
Abstract
摘要
相似文献
1
RWD-INTEGRATED RANDOMIZED CLINICAL TRIAL ANALYSIS.真实世界数据整合的随机临床试验分析
Biopharm Rep. 2022 Summer;29(2):15-21.
2
Utilization of anonymization techniques to create an external control arm for clinical trial data.利用匿名化技术为临床试验数据创建外部对照臂。
BMC Med Res Methodol. 2023 Nov 4;23(1):258. doi: 10.1186/s12874-023-02082-5.
3
Externally Controlled Studies Using Real-World Data in Patients With Hematological Cancers: A Systematic Review.使用血液系统恶性肿瘤真实世界数据的外部对照研究：系统评价。
JAMA Oncol. 2024 Oct 1;10(10):1426-1436. doi: 10.1001/jamaoncol.2024.3466.
4
Hypoglycemia Event Rates: A Comparison Between Real-World Data and Randomized Controlled Trial Populations in Insulin-Treated Diabetes.低血糖事件发生率：胰岛素治疗糖尿病的真实世界数据与随机对照试验人群的比较
Diabetes Ther. 2016 Mar;7(1):45-60. doi: 10.1007/s13300-016-0157-z. Epub 2016 Feb 17.
5
Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review.美国临床试验中使用真实世界数据的当代应用：范围综述。
J Am Med Inform Assoc. 2021 Jan 15;28(1):144-154. doi: 10.1093/jamia/ocaa224.
6
Replication of Oncology Randomized Trial Results using Swedish Registry Real World-Data: A Feasibility Study.基于瑞典登记处真实世界数据的肿瘤学随机试验结果复制：一项可行性研究。
Clin Pharmacol Ther. 2021 Dec;110(6):1613-1621. doi: 10.1002/cpt.2424. Epub 2021 Oct 11.
7
Sunitinib for Metastatic Renal Cell Carcinoma: A Systematic Review and Meta-Analysis of Real-World and Clinical Trials Data.舒尼替尼治疗转移性肾细胞癌：真实世界和临床试验数据的系统评价和荟萃分析。
Target Oncol. 2019 Aug;14(4):405-416. doi: 10.1007/s11523-019-00653-5.
8
Approaches for Enhanced Extrapolation of Long-Term Survival Outcomes Using Electronic Health Records of Patients With Cancer.利用癌症患者的电子健康记录增强长期生存结果的外推方法。
Value Health. 2022 Feb;25(2):230-237. doi: 10.1016/j.jval.2021.08.013. Epub 2021 Oct 6.
9
A comparative study of clinical trial and real-world data in patients with diabetic kidney disease.糖尿病肾病患者的临床试验与真实世界数据的对比研究。
Sci Rep. 2024 Jan 19;14(1):1731. doi: 10.1038/s41598-024-51938-3.
10
Estimation of causal effect in integrating randomized clinical trial and observational data - An example application to cardiovascular outcome trial.整合随机临床试验和观察性数据中的因果效应估计——以心血管结局试验为例的应用
Contemp Clin Trials. 2021 Aug;107:106492. doi: 10.1016/j.cct.2021.106492. Epub 2021 Jun 25.
引用本文的文献
1
When does adjusting covariate under randomization help? A comparative study on current practices.随机化时调整协变量有何帮助？对现行实践的比较研究。
BMC Med Res Methodol. 2024 Oct 26;24(1):250. doi: 10.1186/s12874-024-02375-3.
2
Response to comment on "Transporting survival of an HIV clinical trial to the external target populations by Lee et al. (2024)".对Lee等人（2024年）《将艾滋病临床试验的生存情况推广至外部目标人群》一文评论的回应
J Biopharm Stat. 2025 May;35(3):467-471. doi: 10.1080/10543406.2024.2373449. Epub 2024 Jul 8.
3
genRCT: a statistical analysis framework for generalizing RCT findings to real-world population.genRCT：一个将 RCT 发现推广到真实人群的统计分析框架。
J Biopharm Stat. 2024 Oct;34(6):873-892. doi: 10.1080/10543406.2024.2333136. Epub 2024 Apr 8.
本文引用的文献
1
Transfer learning of individualized treatment rules from experimental to real-world data.将个性化治疗规则从实验数据转移到真实世界数据的迁移学习。
J Comput Graph Stat. 2023;32(3):1036-1045. doi: 10.1080/10618600.2022.2141752. Epub 2022 Nov 30.
2
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation.用于治疗异质性估计的随机试验和真实世界数据的弹性综合分析。
J R Stat Soc Series B Stat Methodol. 2023 Apr 6;85(3):575-596. doi: 10.1093/jrsssb/qkad017. eCollection 2023 Jul.
3
Multiply robust matching estimators of average and quantile treatment effects.平均治疗效果和分位数治疗效果的多重稳健匹配估计量。
Scand Stat Theory Appl. 2023 Mar;50(1):235-265. doi: 10.1111/sjos.12585. Epub 2022 Mar 13.
4
Improving trial generalizability using observational studies.利用观察性研究提高试验的概括性。
Biometrics. 2023 Jun;79(2):1213-1225. doi: 10.1111/biom.13609. Epub 2022 Jan 11.
5
Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations.具有不规则间隔纵向观测值的结构嵌套均值模型的半参数估计。
Biometrics. 2022 Sep;78(3):937-949. doi: 10.1111/biom.13471. Epub 2021 Apr 29.
6
Doubly robust inference when combining probability and non-probability samples with high dimensional data.在将概率样本和非概率样本与高维数据相结合时的双重稳健推断。
J R Stat Soc Series B Stat Methodol. 2020 Apr;82(2):445-465. doi: 10.1111/rssb.12354. Epub 2020 Jan 7.
7
Combining Multiple Observational Data Sources to Estimate Causal Effects.结合多个观测数据源以估计因果效应。
J Am Stat Assoc. 2020;115(531):1540-1554. doi: 10.1080/01621459.2019.1609973. Epub 2019 Jun 11.
8
Extending inferences from a randomized trial to a target population.将随机试验的推论扩展至目标人群。
Eur J Epidemiol. 2019 Aug;34(8):719-722. doi: 10.1007/s10654-019-00533-2. Epub 2019 Jun 19.
9
Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals.将随机试验中个体的因果推断推广到所有符合试验条件的个体。
Biometrics. 2019 Jun;75(2):685-694. doi: 10.1111/biom.13009. Epub 2019 Jun 21.
10
Adjuvant Chemotherapy for Patients with T2N0M0 NSCLC.T2N0M0 非小细胞肺癌患者的辅助化疗
J Thorac Oncol. 2016 Oct;11(10):1729-35. doi: 10.1016/j.jtho.2016.05.022. Epub 2016 Jun 8.
Zotero 插件