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Recommended tests and confidence intervals for paired binomial proportions
被引:72
|作者:
Fagerland, Morten W.
[1
]
Lydersen, Stian
[2
]
Laake, Petter
[3
]
机构:
[1] Oslo Univ Hosp, Unit Biostat & Epidemiol, N-0424 Oslo, Norway
[2] Norwegian Univ Sci & Technol, Reg Ctr Child & Youth Mental Hlth & Child Welf Ce, N-7034 Trondheim, Norway
[3] Univ Oslo, Dept Biostat, N-0316 Oslo, Norway
关键词:
matched data;
dependent data;
paired data;
McNemar;
mid-p;
MID-P;
RELATIVE RISK;
ODDS RATIO;
DIFFERENCE;
EQUIVALENCE;
CONSTRUCTION;
ASSOCIATION;
DESIGN;
LIMITS;
D O I:
10.1002/sim.6148
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
We describe, evaluate, and recommend statistical methods for the analysis of paired binomial proportions. A total of 24 methods are considered. The best tests for association include the asymptotic McNemar test and the McNemar mid-p test. For the difference between proportions, we recommend two simple confidence intervals with closed-form expressions and the asymptotic score interval. The asymptotic score interval is also recommended for the ratio of proportions, as is an interval with closed-form expression based on combining two Wilson score intervals for the single proportion. For the odds ratio, we recommend a transformation of the Wilson score interval and a transformation of the Clopper-Pearson mid-p interval. We illustrate the practical application of the methods using data from a recently published study of airway reactivity in children before and after stem cell transplantation and a matched case-control study of the association between floppy eyelid syndrome and obstructive sleep apnea-hypopnea syndrome. Copyright (C) 2014 John Wiley & Sons, Ltd.
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页码:2850 / 2875
页数:26
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