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Meta Analysis In Medical Sciences

Year 2015, Volume: 1 Issue: 1, 9 - 11, 30.09.2015
https://doi.org/10.30934/kusbed.349511

Abstract

Meta analysis is a statistical analysis of results obtained from independent studies to combine the findings. It provides
more powerful and precise estimates than any individual study contributing to the pooled analysis. In this review paper,
the definition and aims of meta analysis, the steps of meta analysis and its advantages and negative criticisms towards
the meta analysis are given. 

References

  • Glass GV. Primary, secondary, and meta-analysis of research. Educational Researcher. 1976; 5(10): 3-8.
  • Pearson K. Report on certain enteric fever inoculation statistics. Br Med J. 1904; 3: 1243-1246.
  • Tippett L. The Methods of Statistics. Williams and Norgate Ltd. London. 1931.
  • Pearson K. On a method of determining whether a sample of size n supposed to have been drawn from a parent population having a known probability integral has probably been drawn at random. Biometrika. 1933; 25(3/4): 379-410.
  • Yates F, Cochran WG. The analysis of groups of experiments. J Agric Sci. 1938; 28: 556-580.
  • Cohen J. The earth is round (p < .05). Am Psychol. 1994; 49: 997-1003.
  • Blettner M, Sauerbrei W, Schlehofer B, Scheuchenpflug T, Friedenreich C. Traditional Reviews, Meta analysis and pooled analysis in epidemiology. Int J Epidemiol. 1999; 28: 1- 9.
  • Cooper HM. Scientific guidelines for conducting integrative research reviews. Rev Educ Res. 1982; 52: 291-302.
  • Paterson BL, Canam C, Thorne ES, Jillings CR. Meta Study of Qualitative Health Research. SAGE Publications Inc. USA. 2001.
  • Cohen J. Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates. Hillsdale, NJ. 1988.
  • Fisher RA. On the probable error of a coefficient of correlation deduced from a small sample. Metron. 1921; 1: 3-32.
  • Cochran WG. The combination of estimates from different experiments. Biometrics. 1954; 10: 101-129.
  • Sutton AJ, Abrams KR, Jones DR, Sheldon TA, Song F. Methods for Meta Analysis in Medical Research. John Wiley. New York. 2000.
  • Glass GV. Meta-analysis: An approach to the synthesis of research results. J Res Sci Teach. 1982; 19(2): 93-112.

Sağlık Bilimlerinde Meta Analiz

Year 2015, Volume: 1 Issue: 1, 9 - 11, 30.09.2015
https://doi.org/10.30934/kusbed.349511

Abstract

Meta analizi bulguları birleştirmek amacıyla bağımsız çalışmalardan elde edilen sonuçların istatistiksel analizidir. Meta
analizi bireysel bir çalışmaya göre daha güçlü ve daha kesin tahmin yapma olanağı sağlar. Bu derlemede meta
analizinin tanımı ve amaçları, meta analizinde izlenmesi gereken adımlar, meta analizinin avantajları ve meta analizine
yönelik olumsuz eleştiriler verilmektedir. 

References

  • Glass GV. Primary, secondary, and meta-analysis of research. Educational Researcher. 1976; 5(10): 3-8.
  • Pearson K. Report on certain enteric fever inoculation statistics. Br Med J. 1904; 3: 1243-1246.
  • Tippett L. The Methods of Statistics. Williams and Norgate Ltd. London. 1931.
  • Pearson K. On a method of determining whether a sample of size n supposed to have been drawn from a parent population having a known probability integral has probably been drawn at random. Biometrika. 1933; 25(3/4): 379-410.
  • Yates F, Cochran WG. The analysis of groups of experiments. J Agric Sci. 1938; 28: 556-580.
  • Cohen J. The earth is round (p < .05). Am Psychol. 1994; 49: 997-1003.
  • Blettner M, Sauerbrei W, Schlehofer B, Scheuchenpflug T, Friedenreich C. Traditional Reviews, Meta analysis and pooled analysis in epidemiology. Int J Epidemiol. 1999; 28: 1- 9.
  • Cooper HM. Scientific guidelines for conducting integrative research reviews. Rev Educ Res. 1982; 52: 291-302.
  • Paterson BL, Canam C, Thorne ES, Jillings CR. Meta Study of Qualitative Health Research. SAGE Publications Inc. USA. 2001.
  • Cohen J. Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates. Hillsdale, NJ. 1988.
  • Fisher RA. On the probable error of a coefficient of correlation deduced from a small sample. Metron. 1921; 1: 3-32.
  • Cochran WG. The combination of estimates from different experiments. Biometrics. 1954; 10: 101-129.
  • Sutton AJ, Abrams KR, Jones DR, Sheldon TA, Song F. Methods for Meta Analysis in Medical Research. John Wiley. New York. 2000.
  • Glass GV. Meta-analysis: An approach to the synthesis of research results. J Res Sci Teach. 1982; 19(2): 93-112.
There are 14 citations in total.

Details

Subjects Health Care Administration
Journal Section Review Article
Authors

Sibel Balcı

Canan Baydemir

Publication Date September 30, 2015
Submission Date November 6, 2017
Acceptance Date September 15, 2015
Published in Issue Year 2015 Volume: 1 Issue: 1

Cite

APA Balcı, S., & Baydemir, C. (2015). Meta Analysis In Medical Sciences. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, 1(1), 9-11. https://doi.org/10.30934/kusbed.349511
AMA Balcı S, Baydemir C. Meta Analysis In Medical Sciences. KOU Sag Bil Derg. September 2015;1(1):9-11. doi:10.30934/kusbed.349511
Chicago Balcı, Sibel, and Canan Baydemir. “Meta Analysis In Medical Sciences”. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 1, no. 1 (September 2015): 9-11. https://doi.org/10.30934/kusbed.349511.
EndNote Balcı S, Baydemir C (September 1, 2015) Meta Analysis In Medical Sciences. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 1 1 9–11.
IEEE S. Balcı and C. Baydemir, “Meta Analysis In Medical Sciences”, KOU Sag Bil Derg, vol. 1, no. 1, pp. 9–11, 2015, doi: 10.30934/kusbed.349511.
ISNAD Balcı, Sibel - Baydemir, Canan. “Meta Analysis In Medical Sciences”. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 1/1 (September 2015), 9-11. https://doi.org/10.30934/kusbed.349511.
JAMA Balcı S, Baydemir C. Meta Analysis In Medical Sciences. KOU Sag Bil Derg. 2015;1:9–11.
MLA Balcı, Sibel and Canan Baydemir. “Meta Analysis In Medical Sciences”. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, vol. 1, no. 1, 2015, pp. 9-11, doi:10.30934/kusbed.349511.
Vancouver Balcı S, Baydemir C. Meta Analysis In Medical Sciences. KOU Sag Bil Derg. 2015;1(1):9-11.