Empirical assessment of prediction intervals in Cochrane meta-analyses

被引：15
作者：
Al Amer, Fahad M. [1 ,2 ]
Lin, Lifeng [2 ]
机构：
[1] Najran Univ, Dept Math, Coll Sci & Arts, Najran, Saudi Arabia
[2] Florida State Univ, Dept Stat, Tallahassee, FL 32306 USA
来源：
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION | 2021年 / 51卷 / 07期
基金：
美国国家卫生研究院;
关键词：
Cochrane Database of Systematic Reviews; confidence interval; heterogeneity; meta-analysis; prediction interval; ASSESSING HETEROGENEITY; I-2;
D O I：
10.1111/eci.13524
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：4
相关论文
共 15 条
[1]   Basics of meta-analysis: I2 is not an absolute measure of heterogeneity [J].
Borenstein, Michael ;
Higgins, Julian P. T. ;
Hedges, Larry V. ;
Rothstein, Hannah R. .
RESEARCH SYNTHESIS METHODS, 2017, 8 (01) :5-18
[2]   Impact of patient and public involvement on enrolment and retention in clinical trials: systematic review and meta-analysis [J].
Crocker, Joanna C. ;
Ricci-Cabello, Ignacio ;
Parker, Adwoa ;
Hirst, Jennifer A. ;
Chant, Alan ;
Petit-Zeman, Sophie ;
Evans, David ;
Rees, Sian .
BMJ-BRITISH MEDICAL JOURNAL, 2018, 363
[3]   A note on the graphical presentation of prediction intervals in random-effects meta-analyses [J].
Guddat C. ;
Grouven U. ;
Bender R. ;
Skipka G. .
Systematic Reviews, 1 (1)
[4]   Measuring inconsistency in meta-analyses [J].
Higgins, JPT ;
Thompson, SG ;
Deeks, JJ ;
Altman, DG .
BMJ-BRITISH MEDICAL JOURNAL, 2003, 327 (7414) :557-560
[5]   Commentary: Heterogeneity in meta-analysis should be expected and appropriately quantified [J].
Higgins, Julian P. T. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2008, 37 (05) :1158-1160
[6]   A re-evaluation of random-effects meta-analysis [J].
Higgins, Julian P. T. ;
Thompson, Simon G. ;
Spiegelhalter, David J. .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2009, 172 :137-159
[7]   Assessing heterogeneity in meta-analysis:: Q statistic or I2 index? [J].
Huedo-Medina, Tania B. ;
Sanchez-Meca, Julio ;
Marin-Martinez, Fulgencio ;
Botella, Juan .
PSYCHOLOGICAL METHODS, 2006, 11 (02) :193-206
[8]   Plea for routinely presenting prediction intervals in meta-analysis [J].
IntHout, Joanna ;
Ioannidis, John P. A. ;
Rovers, Maroeska M. ;
Goeman, Jelle J. .
BMJ OPEN, 2016, 6 (07)
[9]   Use of Prediction Intervals in Network Meta-analysis [J].
Lin, Lifeng .
JAMA NETWORK OPEN, 2019, 2 (08)
[10]   Comparison of four heterogeneity measures for meta-analysis [J].
Lin, Lifeng .
JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2020, 26 (01) :376-384
12