Meta-evaluation of meta-analysis: ten appraisal questions for biologists

被引:363
|
作者
Nakagawa, Shinichi [1 ,2 ,3 ]
Noble, Daniel W. A. [1 ,2 ]
Senior, Alistair M. [4 ,5 ]
Lagisz, Malgorzata [1 ,2 ]
机构
[1] Univ New South Wales, Evolut & Ecol Res Ctr, Sydney, NSW 2052, Australia
[2] Univ New South Wales, Sch Biol Earth & Environm Sci, Sydney, NSW 2052, Australia
[3] Garvan Inst Med Res, Diabet & Metabol Div, 384 Victoria St, Sydney, NSW 2010, Australia
[4] Univ Sydney, Charles Perkins Ctr, Sydney, NSW 2006, Australia
[5] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
基金
澳大利亚研究理事会;
关键词
Effect size; Biological importance; Non-independence; Meta-regression; Meta-research; Publication bias; Quantitative synthesis; Reporting bias; Statistical significance; Systematic review; PUBLICATION BIAS; LIFE EXTENSION; EFFECT SIZE; CUMULATIVE METAANALYSIS; ASSESSING HETEROGENEITY; SYSTEMATIC REVIEWS; RESPONSE RATIOS; TEMPORAL TRENDS; MASS-PRODUCTION; ECOLOGY;
D O I
10.1186/s12915-017-0357-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of metaanalysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using nonhuman species, which we term 'biological' metaanalysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies 'mega-enlightenment', a 'mega-mistake', or something in between.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Meta-evaluation of meta-analysis: ten appraisal questions for biologists
    Shinichi Nakagawa
    Daniel W. A. Noble
    Alistair M. Senior
    Malgorzata Lagisz
    BMC Biology, 15
  • [2] Meta-analysis
    Hagger, Martin
    INTERNATIONAL REVIEW OF SPORT AND EXERCISE PSYCHOLOGY, 2022, 15 (01) : 120 - 151
  • [3] Evaluation of publication bias in response interruption and redirection: A meta-analysis
    Dowdy, Art
    Tincani, Matt
    Schneider, W. Joel
    JOURNAL OF APPLIED BEHAVIOR ANALYSIS, 2020, 53 (04) : 2151 - 2171
  • [4] Acoustic indices as proxies for biodiversity: a meta-analysis
    Alcocer, Irene
    Lima, Herlander
    Moreira Sugai, Larissa Sayuri
    Llusia, Diego
    BIOLOGICAL REVIEWS, 2022, 97 (06) : 2209 - 2236
  • [5] The Meta-Plot A Graphical Tool for Interpreting the Results of a Meta-Analysis
    van Assen, Marcel A. L. M.
    van den Akker, Olmo R. R.
    Augusteijn, Hilde E. M.
    Bakker, Marjan
    Nuijten, Michele B.
    Olsson-Collentine, Anton
    Stoevenbelt, Andrea H. H.
    Wicherts, Jelte M. M.
    van Aert, Robbie C. M.
    ZEITSCHRIFT FUR PSYCHOLOGIE-JOURNAL OF PSYCHOLOGY, 2023, 231 (01): : 65 - 78
  • [6] A Research Methodology to Conduct Effective Research Syntheses: Meta-Analysis
    Ustun, Ulas
    Eryilmaz, Ali
    EGITIM VE BILIM-EDUCATION AND SCIENCE, 2014, 39 (174): : 1 - 32
  • [7] Methodological issues and advances in biological meta-analysis
    Nakagawa, Shinichi
    Santos, Eduardo S. A.
    EVOLUTIONARY ECOLOGY, 2012, 26 (05) : 1253 - 1274
  • [8] Meta-analysis in Sociological Research: Power and Heterogeneity
    Tong, Guangyu
    Guo, Guang
    SOCIOLOGICAL METHODS & RESEARCH, 2022, 51 (02) : 566 - 604
  • [9] Getting started with meta-analysis
    Harrison, Freya
    METHODS IN ECOLOGY AND EVOLUTION, 2011, 2 (01): : 1 - 10
  • [10] Statistical Considerations in Meta-analysis
    Barza, Michael
    Trikalinos, Thomas A.
    Lau, Joseph
    INFECTIOUS DISEASE CLINICS OF NORTH AMERICA, 2009, 23 (02) : 195 - +