Parametric and nonparametric bootstrap methods for meta-analysis

Behavior Research Methods

Volumn 37, Issue 1, 2005, Pages 11-22

  Van Den Noortgate, Wim ^a   Onghena, Patrick ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; META ANALYSIS; NONPARAMETRIC TEST; PSYCHOLOGY; STATISTICAL MODEL; STATISTICS;

BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; META-ANALYSIS; PSYCHOLOGY, EDUCATIONAL; PSYCHOLOGY, EXPERIMENTAL; STATISTICS, NONPARAMETRIC;

EID: 25144458639     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03206394     Document Type: Article

References (30)

1. BUSING, F. M. T. A. (1993). Distribution characteristics of variance estimates in two-level models. Leiden: Psychometrics and Research Methodology.
2. BUSING, F. M. T. A., MEIJER, E., & VAN DER LEEDEN, R. (1994). MLA: Software for multilevel analysis of data with two levels. User's guide for Version 1.0b. Leiden: Leiden University.
3. CARPENTER, J., GOLDSTEIN, H., & RASBASH, J. (1999). A non-parametric bootstrap for multilevel models. Multilevel Modelling Newsletter, 11, 2-5.
4. COHEN, J. (1992). A power primer. Psychological Bulletin, 112, 155-159.
5. DAVISON, A. C., & HINKLEY, D. V. (1997). Bootstrap methods and their application. Cambridge: Cambridge University Press.
6. DERSIMONIAN, R., & LAIRD, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7, 177-188.
7. EFRON, B. (1982). The jackknife, the bootstrap and other resampling plans. Philadelphia: SIAM.
8. EFRON, B., & TIBSHIRANI, R. J. (1993). An introduction to the bootstrap. New York: Chapman & Hall.
9. GOLDSTEIN, H. (1995). Multilevel statistical models. London: Edward Arnold.
10. GOLDSTEIN, H. (1996). Consistent estimators for multilevel generalized linear models using an iterated bootstrap. Multilevel Modelling Newsletter, 8, 3-6.
11. GOLDSTEIN, H., YANG, M., OMAR, R., TURNER, R., & THOMPSON, S. (2000). Meta-analysis using multilevel models with an application to the study of class size effects. Journal of the Royal Statistical Society: Series C, 49, 339-412.
12. HEDGES, L. V. (1981). Distribution theory for Glass's estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107-128.
13. HEDGES, L. V. (1982). Fitting categorical models to effect sizes from a series of experiments. Journal of Educational Statistics, 7, 119-137.
14. HEDGES, L. V., GIACONIA, R. M., & GAGE, N. L. (1981). The empirical evidence on the effectiveness of open education. Stanford, CA: Stanford University School of Education.
15. HEDGES, L. V., & OLKIN, I. (1985). Statistical methods for meta-analysis. Orlando, FL: Academic Press.
16. KUK, A. Y. C. (1995). Asymptotically unbiased estimation in generalized linear models with random effects. Journal of the Royal Statistical Society: Series B, 57, 395-407.
17. LAIRD, N. M., & LOUIS, T. A. (1987). Empirical Bayes confidence intervals based on bootstrap samples. Journal of the American Statistical Association, 82, 739-759.
18. LAIRD, N. M., & Louis, T. A. (1989). Empirical Bayes confidence intervals for a series of related experiments. Biometrics, 45, 481-495.
19. MEIJER, E., VAN DER LEEDEN, R., & BUSING, F. M. T. A. (1995). Implementing the bootstrap for multilevel models. Multilevel Modelling Newsletter, 7, 7-11.
20. MOK, M. (1995). Sample size requirements for 2-level designs in educational research. Multilevel Modelling Newsletter, 7, 11-15.
21. NATIONAL RESEARCH COUNCIL (1992). Combining information: Statistical issues and opportunities for research. Washington, DC: National Academy Press.
22. RASBASH, J., BROWNE, W., GOLDSTEIN, H., YANG, M., PLEWIS, I., HEALY, M., WOODHOUSE, G., DRAPER, D., LANGFORD, I., & LEWIS, T. (2000). A user's guide to MLwiN. London: University of London.
23. RAUDENBUSH, S. W., & BRYK, A. S. (1985). Empirical Bayes metaanalysis. Journal of Educational Statistics, 10, 75-98.
24. RAUDENBUSH, S. W., & BRYK, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.
25. SMITH, S. J., CAUDILL, S. P., STEINBERG, K. S., & THACKER, S. B. (1995). On combining dose-response data from epidemiological studies by meta-analysis. Statistics in Medicine, 14, 531-544.
26. SNIJDERS, T. A. B., & BOSKER, R. J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
27. VAN DEN NOORTGATE, W., & ONGHENA, P. (2003a). Estimating the standardized mean difference in a meta-analysis: Bias, precision and mean squared error. Behavior Research Methods, Instruments, & Computers, 35, 504-511.
28. VAN DEN NOORTGATE, W., & ONGHENA, P. (2003b). Multilevel metaanalysis: A comparison with traditional meta-analytical procedures. Educational & Psychological Measurement, 63, 765-790.
29. VAN DEN NOORTGATE, W., & ONGHENA, P. (2003c). A parametric bootstrap version of Hedges' homogeneity test. Journal of Modern Applied Statistical Methods, 2, 73-79.
30. ZHOU, X.-H., BRIZENDINE, E. J., & PRITZ, M. B. (1999). Methods for combining rates from several studies. Statistics in Medicine, 18, 557-566.