Comment on "analysis of longitudinal trials with protocol deviations: a framework for relevant, accessible assumptions, and inference via multiple imputation," by Carpenter, Roger, and Kenward.
作者信息
Seaman Shaun R, White Ian R, Leacy Finbarr P
机构信息
a Medical Research Council, Biostatistics Unit , Institute of Public Health , Cambridge , United Kingdom.
出版信息
J Biopharm Stat. 2014;24(6):1358-62. doi: 10.1080/10543406.2014.928306.
Abstract
摘要
相似文献
1
Comment on "analysis of longitudinal trials with protocol deviations: a framework for relevant, accessible assumptions, and inference via multiple imputation," by Carpenter, Roger, and Kenward.对卡彭特、罗杰和肯沃德所著的《对存在方案偏离的纵向试验的分析：通过多重填补进行相关、可及假设及推断的框架》的评论
J Biopharm Stat. 2014;24(6):1358-62. doi: 10.1080/10543406.2014.928306.
2
Response to comments by Seaman et al. on "Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation," Journal of Biopharmaceutical Statistics 23:1352-1371.对西曼等人就《对存在方案偏离的纵向试验的分析：通过多重填补进行相关、可及假设及推断的框架》一文的评论，《生物制药统计学杂志》23:1352 - 1371
J Biopharm Stat. 2014;24(6):1363-9. doi: 10.1080/10543406.2014.960085.
3
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation.对存在方案偏离的纵向试验的分析：一个用于相关、可及假设以及通过多重填补进行推断的框架。
J Biopharm Stat. 2013;23(6):1352-71. doi: 10.1080/10543406.2013.834911.
4
5
A structured framework for assessing sensitivity to missing data assumptions in longitudinal clinical trials.一种用于评估纵向临床试验中对缺失数据假设敏感性的结构化框架。
Pharm Stat. 2013 Jan-Feb;12(1):1-6. doi: 10.1002/pst.1547. Epub 2012 Nov 28.
6
A causal modelling framework for reference-based imputation and tipping point analysis in clinical trials with quantitative outcome.一种基于因果建模的方法，用于临床试验中具有定量结局的参考赋值和临界点分析。
J Biopharm Stat. 2020 Mar;30(2):334-350. doi: 10.1080/10543406.2019.1684308. Epub 2019 Nov 12.
7
Using multiple imputation to estimate cumulative distribution functions in longitudinal data analysis with data missing at random.在纵向数据分析中使用多重填补法估计随机缺失数据的累积分布函数。
Pharm Stat. 2013 Sep-Oct;12(5):260-7. doi: 10.1002/pst.1579. Epub 2013 Jul 4.
8
An application of a pattern-mixture model with multiple imputation for the analysis of longitudinal trials with protocol deviations.一种带有多重插补的模式混合模型在分析存在方案偏离的纵向试验中的应用。
BMC Med Res Methodol. 2019 Jan 9;19(1):10. doi: 10.1186/s12874-018-0639-y.
9
Distributional imputation for the analysis of censored recurrent events.分布插补在删失重复事件分析中的应用。
Stat Med. 2024 Jun 15;43(13):2622-2640. doi: 10.1002/sim.10087. Epub 2024 Apr 29.
10
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework.调整随机对照试验中不完整的基线协变量：跨世界推断框架。
Biometrics. 2024 Jul 1;80(3). doi: 10.1093/biomtc/ujae094.
引用本文的文献
1
Missing data in bioarchaeology II: A test of ordinal and continuous data imputation.生物考古学中的缺失数据 II：有序数据和连续数据插补的检验。
Am J Biol Anthropol. 2022 Nov;179(3):349-364. doi: 10.1002/ajpa.24614. Epub 2022 Sep 12.
2
ROBUST INFERENCE WHEN COMBINING INVERSE-PROBABILITY WEIGHTING AND MULTIPLE IMPUTATION TO ADDRESS MISSING DATA WITH APPLICATION TO AN ELECTRONIC HEALTH RECORDS-BASED STUDY OF BARIATRIC SURGERY.在结合逆概率加权和多重填补以处理缺失数据并应用于基于电子健康记录的减肥手术研究时的稳健推断
Ann Appl Stat. 2021 Mar;15(1):126-147. doi: 10.1214/20-aoas1386.
3
Standard and reference-based conditional mean imputation.基于标准和参考的条件均值插补。
Pharm Stat. 2022 Nov;21(6):1246-1257. doi: 10.1002/pst.2234. Epub 2022 May 19.
4
A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data.缺失结局数据的随机对照试验中使用控制多重填补的综述。
BMC Med Res Methodol. 2021 Apr 15;21(1):72. doi: 10.1186/s12874-021-01261-6.
5
Bootstrap inference for multiple imputation under uncongeniality and misspecification.在不相容性和错误设定下多重填补的自助法推断
Stat Methods Med Res. 2020 Dec;29(12):3533-3546. doi: 10.1177/0962280220932189. Epub 2020 Jun 30.
6
Estimands and missing data in clinical trials of chronic pain treatments: advances in design and analysis.慢性疼痛治疗临床试验中的目标和缺失数据：设计和分析的进展。
Pain. 2020 Oct;161(10):2308-2320. doi: 10.1097/j.pain.0000000000001937.
7
Reference-based multiple imputation for missing data sensitivity analyses in trial-based cost-effectiveness analysis.基于参照的缺失数据敏感性分析在基于试验的成本效果分析中的多重填补。
Health Econ. 2020 Feb;29(2):171-184. doi: 10.1002/hec.3963. Epub 2019 Dec 17.
8
A causal modelling framework for reference-based imputation and tipping point analysis in clinical trials with quantitative outcome.一种基于因果建模的方法，用于临床试验中具有定量结局的参考赋值和临界点分析。
J Biopharm Stat. 2020 Mar;30(2):334-350. doi: 10.1080/10543406.2019.1684308. Epub 2019 Nov 12.
本文引用的文献
1
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation.对存在方案偏离的纵向试验的分析：一个用于相关、可及假设以及通过多重填补进行推断的框架。
J Biopharm Stat. 2013;23(6):1352-71. doi: 10.1080/10543406.2013.834911.
2
An analytic method for the placebo-based pattern-mixture model.基于安慰剂的模式混合模型的一种分析方法。
Stat Med. 2014 Mar 30;33(7):1134-45. doi: 10.1002/sim.6008. Epub 2013 Oct 9.
3
Uses and limitations of randomization-based efficacy estimators.基于随机化的疗效估计器的用途和局限性。
Stat Methods Med Res. 2005 Aug;14(4):327-47. doi: 10.1191/0962280205sm406oa.
Zotero 插件