自助法置信区间的自动构建。
The automatic construction of bootstrap confidence intervals.
作者信息
Efron Bradley, Narasimhan Balasubramanian
机构信息
Department of Biomedical Data Sciences and Department of Statistics Stanford University.
出版信息
J Comput Graph Stat. 2020;29(3):608-619. doi: 10.1080/10618600.2020.1714633. Epub 2020 Mar 12.
Abstract
The standard intervals, e.g., for nominal 95% two-sided coverage, are familiar and easy to use, but can be of dubious accuracy in regular practice. Bootstrap confidence intervals offer an order of magnitude improvement-from first order to second order accuracy. This paper introduces a new set of algorithms that automate the construction of bootstrap intervals, substituting computer power for the need to individually program particular applications. The algorithms are described in terms of the underlying theory that motivates them, along with examples of their application. They are implemented in the R package bcaboot.
摘要
标准区间，例如用于名义95%双侧覆盖的区间，为人所熟知且易于使用，但在常规实践中其准确性可能存疑。自助置信区间提供了一个数量级的改进——从一阶精度提升到二阶精度。本文介绍了一组新的算法，这些算法可自动构建自助区间，用计算机算力替代了针对特定应用进行单独编程的需求。文中根据激发这些算法的基础理论对其进行了描述，并给出了应用示例。它们在R包bcaboot中得以实现。
相似文献
1
The automatic construction of bootstrap confidence intervals.自助法置信区间的自动构建。
J Comput Graph Stat. 2020;29(3):608-619. doi: 10.1080/10618600.2020.1714633. Epub 2020 Mar 12.
2
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods.基于 bootstrap 校正方法的多变量预测模型预测准确性度量的置信区间。
Stat Med. 2021 Nov 20;40(26):5691-5701. doi: 10.1002/sim.9148. Epub 2021 Jul 24.
3
Confidence intervals for the mean of diagnostic test charge data containing zeros.包含零值的诊断测试费用数据均值的置信区间。
Biometrics. 2000 Dec;56(4):1118-25. doi: 10.1111/j.0006-341x.2000.01118.x.
4
Nonparametric confidence intervals for Tmax in sequence-stratified crossover studies.序列分层交叉研究中Tmax的非参数置信区间。
Pharm Stat. 2008 Jan-Mar;7(1):9-19. doi: 10.1002/pst.253.
5
Non-parametric bootstrap confidence intervals for the intraclass correlation coefficient.组内相关系数的非参数自助置信区间。
Stat Med. 2003 Dec 30;22(24):3805-21. doi: 10.1002/sim.1643.
6
Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method.使用神经网络和自举法构建最优预测区间。
IEEE Trans Neural Netw Learn Syst. 2015 Aug;26(8):1810-5. doi: 10.1109/TNNLS.2014.2354418. Epub 2014 Sep 10.
7
Information dynamics with confidence: Using reservoir computing to construct confidence intervals for information-dynamic measures.带置信度的信息动力学：利用回声状态网络构建信息动力学测度的置信区间
Chaos. 2019 Aug;29(8):083113. doi: 10.1063/1.5100742.
8
Comparison of Bootstrap Confidence Interval Methods for GSCA Using a Monte Carlo Simulation.使用蒙特卡罗模拟对GSCA的自助置信区间方法进行比较
Front Psychol. 2019 Oct 11;10:2215. doi: 10.3389/fpsyg.2019.02215. eCollection 2019.
9
Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?测量名义数据的评分者间信度——哪些系数和置信区间是合适的？
BMC Med Res Methodol. 2016 Aug 5;16:93. doi: 10.1186/s12874-016-0200-9.
10
Use of the bootstrap in analysing cost data from cluster randomised trials: some simulation results.在分析整群随机试验成本数据中使用自助法：一些模拟结果
BMC Health Serv Res. 2004 Nov 18;4(1):33. doi: 10.1186/1472-6963-4-33.
引用本文的文献
1
An ensemble method utilising multiple thinking styles that boosts the wisdom-of inner- crowd effect.一种利用多种思维方式的集成方法，可增强群体内部智慧效应。
Sci Rep. 2025 Aug 21;15(1):30727. doi: 10.1038/s41598-025-14740-3.
2
Spatial Heterogeneity in Carbon Pools of Young sp. Stands on Former Arable Lands in the South of the Moscow Region.莫斯科地区南部 former Arable Lands 上 Young sp. 林分碳库的空间异质性 。
注：这里“former Arable Lands”不太明确准确意思，可能是“ former arable land”（ former 前，arable land 耕地 ），但不确定，所以按原文呈现。
Plants (Basel). 2025 Aug 3;14(15):2401. doi: 10.3390/plants14152401.
3
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance.一种考虑重叠性和不完全依从性来估计公共政策因果效应的自助法程序。
J Appl Stat. 2024 Nov 17;52(7):1470-1484. doi: 10.1080/02664763.2024.2428994. eCollection 2025.
4
Probabilistic weather forecasting with machine learning.基于机器学习的概率天气预报。
Nature. 2025 Jan;637(8044):84-90. doi: 10.1038/s41586-024-08252-9. Epub 2024 Dec 4.
5
Autologous mitochondrial transplant for acute cerebral ischemia: Phase 1 trial results and review.急性脑缺血的自体线粒体移植：1期试验结果与综述
J Cereb Blood Flow Metab. 2024 Dec 4:271678X241305230. doi: 10.1177/0271678X241305230.
6
How can restaurants entice patrons to order environmentally sustainable dishes? Testing new approaches based on hedonic psychology and affective forecasting theory.餐厅如何吸引顾客点选环境可持续的菜品？基于享乐心理学和情感预测理论测试新方法。
J Sustain Tour. 2023 Oct 25;32(10):2225-2244. doi: 10.1080/09669582.2023.2274283. eCollection 2024.
7
Diving dinosaurs? Caveats on the use of bone compactness and pFDA for inferring lifestyle.潜水恐龙？利用骨密度和 pFDA 推断生活方式的注意事项。
PLoS One. 2024 Mar 6;19(3):e0298957. doi: 10.1371/journal.pone.0298957. eCollection 2024.
8
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases.季节性调整实验室参考区间以提高机器学习模型对心血管疾病分类的性能。
BMC Med Inform Decis Mak. 2024 Mar 4;24(1):62. doi: 10.1186/s12911-024-02467-6.
9
Trace element bioaccumulation, tissue distribution, and elimination in odontocetes stranded in Florida and Georgia, USA over a 15-year period (2007-2021).15年期间（2007年至2021年）在美国佛罗里达州和佐治亚州搁浅的齿鲸体内的微量元素生物累积、组织分布及消除情况
Heliyon. 2024 Feb 3;10(3):e25552. doi: 10.1016/j.heliyon.2024.e25552. eCollection 2024 Feb 15.
10
Confidence interval comparison: Precision of maximum likelihood estimates in LLOQ affected data.置信区间比较：LLOQ 影响数据中极大似然估计的精度。
PLoS One. 2023 Nov 2;18(11):e0293640. doi: 10.1371/journal.pone.0293640. eCollection 2023.
本文引用的文献
1
Estimation and Accuracy after Model Selection.模型选择后的估计与准确性。
J Am Stat Assoc. 2014 Jul 1;109(507):991-1007. doi: 10.1080/01621459.2013.823775.
Zotero 插件