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메타분석에 있어서 출간오류 : 의미와 분석
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  • 메타분석에 있어서 출간오류 : 의미와 분석
  • Publication Bias in Meta-Analysis: Its Meaning and Analysis
저자명
황성동
간행물명
인간발달연구KCI
권/호정보
2016년|23권 1호(통권65호)|pp.1-19 (19 pages)
발행정보
한국인간발달학회|한국
파일정보
정기간행물|KOR|
PDF텍스트(1.35MB)
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국문초록

선행 연구결과에 대한 종합적 분석(research synthesis) 방법으로서 메타분석(meta-analysis)은 최 근 많은 관심을 받고 있으며, 기존의 연구방법에 비해 오류(bias)가 적은 결과를 도출하는 것 으로 알려져 있다. 하지만 연구자들은 메타분석 연구가 출간오류로 인해 그 결과가 왜곡될 수 있다는 의구심을 가지고 있다. 따라서 본 연구는 메타분석에 있어서 중요한 이슈인 출간 오류의 의미를 논의하고 구체적인 사례를 이용해 출간오류 분석을 실시하여 메타분석 연구 를 수행하는데 필요한 출간오류 분석 가이드라인을 제공하고자 하였다. 출간오류에 대한 구체적인 분석으로 먼저 효과크기 데이터에 대한 검토를 거쳐, funnel plot을 이용하여 효 과크기의 비대칭을 검증하였다. 여기에는 시각적 분석과 통계적 분석방법을 이용하였으 며, 그 결과 출간오류의 존재를 파악할 수 있었다. 따라서 출간오류에 대한 조정방법으로 trim-and-fill 방법과 Copas selection 모형을 활용하여 연구결과에 대한 조정을 시도하였으며, 그 결과 발견된 출간오류는 전체 연구결과에 심각한 영향을 줄 정도의 오류가 아님을 확인 할 수 있었다. 학계에서는 메타분석에 대한 결과를 보고하는 가이드라인과 메타분석 연구의 평가기준에 있어서 출간오류 분석에 대한 기준을 명시하고 있다. 따라서 출간오류 분석은 개별 메타분석 연구의 진실성(integrity) 검증뿐만 아니라 메타분석이라는 연구방법의 타당성 (validity)을 위한 기준이 된다고 할 수 있다.

영문초록

As a new mode of research synthesis, meta-analysis has recently drawn much attention from researchers, having proved to produce less biased results than the traditional research synthesis method. However, scholars may be suspicious about the results of meta-analysis due to publication bias as it occurs when published studies represent a biased selection of the evidence. This study was designed to discuss the meaning of publication bias and conduct publication bias analysis using an example data set so as to provide researchers with a guideline for performing valid meta-analysis. The process of publication bias analysis begins with a careful examination of the effect sizes of individual studies and continues with testing funnel plot asymmetry. With both a graphical test and a statistical one, potential publication bias could not be ruled out. To deal with this bias, adjustments were made using the trim-and-fill method followed by the Copas selection model, and the original result was found to be valid and statistically robust even with the small bias detected. In the academic circle of meta-analysis, publication bias analysis is specified as one of the required items in some guidelines of reporting and evaluating the results of meta-analysis. Therefore, it is highly recommended to conduct publication bias analysis for the validity of meta-analysis as well as the integrity of individual meta-analytic studies.

목차

Ⅰ. 서 론
Ⅱ. 출간오류의 의미와 분석
Ⅲ. 결 론
참고문헌

참고문헌 (36건)

  • 김달호, 장은진, 황진섭 (2014). R과 WinBUGS를 이용한 메타분석. 서울: 자유아카데미.
  • 김소연, 김선미, 김보영, 양은주 (2015). 대처방식과 외상 후 심리적 부적응의 관계에 대한 메타분석 연구. 인간발달연구, 22(1), 195-223.
  • 황성동 (2015). R을 이용한 메타분석. 서울: 학지사.
  • Becker, B. J. (2005). Failsafe N or file-drawer number. In H. Rothstein, A. Sutton, & M. Borenstein (eds), Publication bias in meta-analysis: Prevention, assessment and adjustments (pp. 111-125). Chichester, UK: John Wiley & Sons, Ltd.
  • Begg, C. B., & Berlin, J. A. (1988). Publication bias: A problem in interpreting medical data. Journal of the Royal Statistical Society, 151(3), 419-463. http://www.jstor.org/stable/2982993.
  • Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 1088-1101.
  • Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester, UK: Wiley.
  • Copas, J., & Malley, P. (2008). A robust p-value for treatment effect in meta-analysis with publication bias. Statistics in Medicine, 27(21), 4267-4278.
  • Copas, J., & Shi, J. (2001). A sensitivity analysis for publication bias in systematic reviews. Statistical Methods in Medical Research, 10, 251-265.
  • Duval, S. (2005). The trim and fill method. In H. Rothstein, A. Sutton, & M. Borenstein (eds), Publication bias in meta-analysis: Prevention, assessment and adjustments (pp. 127-144). Chichister, UK: John Wiley & Sons, Ltd.
  • Duval, S., & Tweedie, R. (2000). A nonparametric ‘trim and fill’ method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95, 89-98.
  • Egger, M., Smith, G. W., & Altman, D. G. (2003). Systematic reviews in health care: Meta-analysis in context (2nd ed.). London, UK: BMJ Books.
  • Egger, M., Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, 629-634.
  • Hackshaw, A., Law, M., & Wald, N. (1997). The accumulated evidence on lung cancer and environmental tobacco smoke. British Medical Journal, 315, 980-988.
  • Higgins, J., & Green, S. (eds.) (2011). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0, The Cochrane Collaboration. Retrieved December 23, 2015, from http://handbook.cochrane.org.
  • Littell, J. (2013). The science and practice of research synthesis. Journal of the Society for Social Work and Research, 4(4), 292-299. doi:10.5243/jsswr.2013.19.
  • Littell, J., Corcoran, J., & Pillai, V. (2008). Systematic reviews and meta-analysis. New York: Oxford University Press.
  • Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement, Journal of Clinical Epidemiology, 62, e1-e34.
  • Mueller, K., Meerpohl, J., Briel, M., Antes, G., Elm, E., Lang, B., . . . Bassler, D. (2013). Detecting, quantifying and adjusting for publication bias in meta-analyses: Protocol of a systematic review on methods. Systematic Reviews, 2(60). doi:10.1186/2046-4053-2-60.
  • Orwin, R. (1983). A fail-safe N for effect size in meta-analysis. Journal of Educational Statistics, 8, 157-159.
  • Palmer, T., & Sterne, J. (eds). (2016). Meta-analysis in Stata: An updated collection from the Stata journal(2nd Ed.). College Station, Texas: Stata Press.
  • Peters, J., Sutton, A., Jones, D., Abrams, K., & Rushton, L. (2008). Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry. Journal of Clinical Epidemiology, 61(10), 991-996.
  • R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org/.
  • Rosenberg, M. S. (2005). The file-drawer problem revisited: A general weighted method for calculating fail-safe numbers in meta-analysis. Evolution, 59(2), 464-468.
  • Rosenthal, R. (1979). The “file drawer problem” and tolerance for null results. Psychological Bulletin, 86, 638-641.
  • Rothstein, H. R., Sutton, A. J., & Borenstein, M. (eds). (2005). Publication bias in meta-analysis: Prevention, assessment and adjustments. Chichister, UK: John Wiley & Sons, Ltd.
  • Schwarzer, G. (2015). Meta: General package for meta-analysis. R package version 4.3-2. Retrieved February 23, 2015, from http://CRAN. r-project.org/package=meta.
  • Schwarzer, G., Carpenter, J., & Rücker, G. (2010). Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis. Journal of Clinical Epidemiology, 63, 282-288.
  • Schwarzer, G., Carpenter, J., & Rücker, G. (2015a). Meta-analysis with R. Switzerland, Springer International Publications.
  • Schwarzer, G., Carpenter, J., & Rücker, G. (2015b). Metasens: Advanced statistical methods to model and adjust for bias in meta-analysis. R package version 0.2-0. Retrieved December 21, 2015, from http://CRAN.r-project.org/package =metasens.
  • Shea, B., Hamel, C., Wells, G, Bouter, L., Kristjansson, E., Grimshaw, J., . . . Boers, M. (2009). AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. Journal of Clinical Epidemiology, 62, 1013-1020.
  • Sterne, J., Becker, J. B., & Egger, M. (2005). The funnel plot. In H. Rothstein, A. Sutton, & M. Borenstein (eds), Publication bias in meta-analysis: Prevention, assessment and adjustments (pp. 75-98). Chichister, UK: John Wiley & Sons, Ltd.
  • Sterne, J., & Egger, M. (2005). Regression methods to detect publication and other bias in meta-analysis. In H. Rothstein, A. Sutton, & M. Borenstein (eds.), Publication bias in meta-analysis: Prevention, assessment and adjustments (pp. 99-110). Chichister, UK: John Wiley & Sons, Ltd.
  • Sterne, J., Gavaghan, D., & Egger, M. (2000). Publication and related bias in meta-analysis: Power of statistical tests and prevalence in the literature. Journal of Clinical Epidemiology, 53, 1119-1129.
  • Sterne, J., Sutton, A. J., Ioannidis, J., Terrin, N., Jones, D. R, Lau, J., . . . Higgins, J. (2011). Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomized controlled trials. British Medical Journal, 343, d4002. http://bmj.com/cgi/content/full/bmj.d4002.doi:10.1136/bmj.d4002.
  • Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48. http://www. jstatsoft.org/v36/i03.
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