Misuse of the sign test in narrative synthesis of evidence

Research Synthesis Methods

Volumn 11, Issue 5, 2020, Pages 714-719

  Nikolakopoulos, Stavros ^a,b,c  

^a UNIVERSITY OF IOANNINA   (Greece)

^b ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

^c UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

binomial distribution; narrative synthesis; Poisson binomial distribution; sign test

Indexed keywords

ALGORITHM; BINOMIAL DISTRIBUTION; HUMAN; INFORMATION PROCESSING; LITERATURE; METHODOLOGY; POISSON DISTRIBUTION; REPRODUCIBILITY; SAMPLE SIZE; STATISTICAL MODEL; TREATMENT OUTCOME; VERBAL COMMUNICATION;

ALGORITHMS; BINOMIAL DISTRIBUTION; DATA COLLECTION; HUMANS; MODELS, STATISTICAL; NARRATION; POISSON DISTRIBUTION; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; REVIEW LITERATURE AS TOPIC; SAMPLE SIZE; TREATMENT OUTCOME;

EID: 85087896277     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1427     Document Type: Article

References (14)

1. Campbell M, Katikireddi SV, Sowden A, Thomson H. Lack of transparency in reporting narrative synthesis of quantitative data: a methodological assessment of systematic reviews. J Clin Epidemiol. 2019;105:1-9.
2. McKenzie JE, Brennan SE. Synthesizing and presenting findings using other methods. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA eds. Cochrane Handbook for Systematic Reviews of Interventions; 2019:321-347. https://training.cochrane.org/handbook.
3. Ogilvie D, Fayter D, Petticrew M, et al. The harvest plot: a method for synthesising evidence about the differential effects of interventions. BMC Med Res Methodol. 2008;8(1):8.
4. Thomson HJ, Thomas S. The effect direction plot: visual display of non-standardised effects across multiple outcome domains. Res Synth Methods. 2013;4(1):95-101.
5. Hedges LV, Olkin I. Vote-counting methods in research synthesis. Psychol Bull. 1980;88(2):359-369.
6. Bushman BJ, Wang MC. Vote-counting procedures in meta-analysis. In: Cooper H, Hedges LV, Valentine JC, eds. The Handbook of Research Synthesis.2nd ed. New York, NY: Russell Sage Foundation; 2009:207–220.
7. Borenstein M, Hedges LV, Higgins JP, Rothstein HR. Introduction to Meta-Analysis. England: John Wiley & Sons; 2011.
8. McKenzie J, Brennan S. Complex Reviews: Methods and Considerations for Summarising and Synthesising Results in Systematic Reviews with Complexity. Cochrane Australia. 2014.
9. Conover WJ. Practical Nonparametric Statistics. New York, NY: Wiley; 1980.
10. Hong Y. On computing the distribution function for the Poisson binomial distribution. Comput Stat Data Anal. 2013;59:41-51.
11. Brown LD, Cai TT, DasGupta A. Interval estimation for a binomial proportion. Stat Sci. 2001;16:101-117.
12. Hung HJ, O'Neill RT, Bauer P, Kohne K. The behavior of the p-value when the alternative hypothesis is true. Biometrics. 1997;53:11-22.
13. Sterne JA, Smith GD. Sifting the evidence—what's wrong with significance tests? Phys Ther. 2001;81(8):1464-1469.
14. Wasserstein RL, Schirm AL, Lazar NA. Moving to a world beyond “p<0.05”. Am Stat. 2019;73(sup1):1-19.