Exact anytime-valid confidence intervals for contingency tables and beyond

被引：1
|
作者：
Turner, Rosanne J. [1 ,2 ]
Grunwald, Peter D. [1 ,3 ]
机构：
[1] CWI, NWO I, Amsterdam, Netherlands
[2] Univ Med Ctr Utrecht, Brain Ctr, Utrecht, Netherlands
[3] Leiden Univ, Dept Math, Leiden, Netherlands
来源：
STATISTICS & PROBABILITY LETTERS | 2023年 / 198卷
基金：
荷兰研究理事会;
关键词：
Confidence sequences; Contingency tables; Anytime-valid; Effect size;
D O I：
10.1016/j.spl.2023.109835
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
E-variables are tools for retaining type-I error guarantee with optional stopping. We extend E-variables for sequential two-sample tests to general null hypotheses and anytime-valid confidence sequences. We provide implementations for estimating risk difference, relative risk and odds-ratios in contingency tables. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数：8
相关论文
共 50 条
  • [1] Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform
    Maharaj, Akash V.
    Sinha, Ritwik
    Arbour, David
    Waudby-Smith, Ian
    Liu, Simon Z.
    Sinha, Moumita
    Addanki, Raghavendra
    Ramdas, Aaditya
    Garg, Manas
    Swaminathan, Viswanathan
    [J]. COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023, 2023, : 396 - 400
  • [2] Deep anytime-valid hypothesis testing
    Pandeva, Teodora
    Forre, Patrick
    Ramdas, Aaditya
    Shekhar, Shubhanshu
    [J]. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238, 2024, 238
  • [3] Anytime-Valid Inference For Multinomial Count Data
    Lindon, Michael
    Malek, Alan
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [4] Anytime-valid inference in N-of-1 trials
    Malenica, Ivana
    Guo, Yongyi
    Gan, Kyra
    Konigorski, Stefan
    [J]. MACHINE LEARNING FOR HEALTH, ML4H, VOL 225, 2023, 225 : 307 - 322
  • [5] Log-optimal anytime-valid E-values
    Koolen, Wouter M.
    Grünwald, Peter
    [J]. International Journal of Approximate Reasoning, 2022, 141 : 69 - 82
  • [6] Log-optimal anytime-valid E-values
    Koolen, Wouter M.
    Grunwald, Peter
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2022, 141 : 69 - 82
  • [7] Anytime-Valid Tests of Conditional Independence Under Model-X
    Grunwald, Peter
    Henzi, Alexander
    Lardy, Tyron
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2024, 119 (546) : 1554 - 1565
  • [8] Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints
    Zhu, Qiansheng
    Lang, Joseph B.
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 169
  • [9] COMPARISON OF EXACT AND ASYMPTOTIC CONFIDENCE-INTERVALS FOR THE COMMON ODDS RATIO ACROSS SEVERAL 2 X 2 CONTINGENCY-TABLES
    MEHTA, CR
    WALSH, SJ
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 1988, 128 (04) : 906 - 906
  • [10] Frequentist performance of Bayesian confidence intervals for comparing proportions in 2 x 2 contingency tables
    Agresti, A
    Min, YY
    [J]. BIOMETRICS, 2005, 61 (02) : 515 - 523
12345