Meta-regression in Stata

Stata Journal

Volumn 8, Issue 4, 2008, Pages 493-519

  Harbord, Roger M ^a   Higgins, Julian P T ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b MRC BIOSTATISTICS UNIT   (United Kingdom)

Author keywords

Meta analysis; Meta regression; Metareg; Multiple testing; Permutation test; sbe23_1

Indexed keywords

EID: 43749120910     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0800800403     Document Type: Article

References (29)

1. Benjamini, Y., and Y. Hochberg. 1995. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B (Methodological) 57: 289-300.
2. Berkey, C. S., D. C. Hoaglin, F. Mosteller, and G. A. Colditz. 1995. A random-effects regression model for meta-analysis. Statistics in Medicine 14: 395-411.
3. Davey Smith, G., M. Egger, and A. N. Phillips. 1997. Meta-analysis: Beyond the grand mean? British Medical Journal 315: 1610-1614.
4. DerSimonian, R., and N. Laird. 1986. Meta-analysis in clinical trials. Controlled Clinical Trials 7: 177-188.
5. DuMouchel, W. H., and J. E. Harris. 1983. Bayes methods for combining the results of cancer studies in humans and other species. Journal of the American Statistical Association 78: 293-308.
6. Harris, R. J., M. J. Bradburn, J. J. Deeks, R. M. Harbord, D. G. Altman, and J. A. C. Sterne. 2008. metan: fixed- and random-effects meta-analysis. Stata Journal 8: 3-28.
7. Harville, D. A. 1977. Maximum likelihood approaches to variance component estimation and to related problems. Journal of the American Statistical Association 72: 320-338.
8. Higgins, J. P. T., and S. G. Thompson. 2004. Controlling the risk of spurious findings from meta-regression. Statistics in Medicine 23: 1663-1682.
9. Higgins, J. P. T., S. G. Thompson, J. J. Deeks, and D. G. Altman. 2002. Statistical heterogeneity in systematic reviews of clinical trials: A critical appraisal of guidelines and practice. Journal of Health Services Research and Policy 7: 51-61.
10. -. 2003. Measuring inconsistency in meta-analyses. British Medical Journal 327: 557-560.
11. Higgins, J. P. T., S. G. Thompson, and D. J. Spiegelhalter. Forthcoming. A reevaluation of random-effects meta-analysis. Journal of the Royal Statistics Society, Series A (Statistics in Society).
12. Knapp, G., and J. Hartung. 2003. Improved tests for a random-effects meta-regression with a single covariate. Statistics in Medicine 22: 2693-2710.
13. Lawlor, D. A., and S. W. Hopker. 2001. The effectiveness of exercise as an intervention in the management of depression: Systematic review and meta-regression analysis of randomised controlled trials. British Medical Journal 322: 763.
14. Lipsey, M. W., and D. B. Wilson. 2001. Practical Meta-Analysis. Thousand Oaks, CA: Sage.
15. Manly, B. F. J. 2006. Randomization, Bootstrap and Monte Carlo Methods in Biology. 3rd ed. Boca Raton, FL: Chapman & Hall/CRC.
16. Morris, C. N. 1983. Parametric empirical Bayes inference: Theory and applications. Journal of the American Statistical Association 78: 47-55.
17. Newson, R., and the ALSPAC Study Team. 2003. Multiple-test procedures and smile plots. Stata Journal 3: 109-132.
18. Shaffer, J. P. 1995. Multiple hypothesis testing. Annual Review of Psychology 46: 561-584.
19. Sharp, S. 1998. sbe23: Meta-analysis regression. Stata Technical Bulletin 42: 16-22.Reprinted in Stata Technical Bulletin Reprints, vol. 7, pp. 148-155. College Station, TX: Stata Press.
20. Sidik, K., and J. N. Jonkman. 2007. A comparison of heterogeneity variance estimators in combining results of studies. Statistics in Medicine 26: 1964-1981.
21. Sterne, J. A. C., and G. Davey Smith. 2001. Sifting the evidence - what's wrong with significance tests? British Medical Journal 322: 226-231.
22. Storey, J. D., J. E. Taylor, and D. Siegmund. 2004. Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach. Journal of the Royal Statistical Society, Series B (Statistical Methodology) 66: 187-205.
23. Sutton, A. J., and J. P. T. Higgins. 2008. Recent developments in meta-analysis. Statistics in Medicine 27: 625-650.
24. Thompson, S. G. 1993. Controversies in meta-analysis: The case of the trials of serum cholesterol reduction. Statistical Methods in Medical Research 2: 173-192.
25. Thompson, S. G., and J. P. T. Higgins. 2002. How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine 21: 1559-1573.
26. -. 2005. Can meta-analysis help target interventions at individuals most likely to benefit? Lancet 365: 341-346.
27. Thompson, S. G., and S. J. Sharp. 1999. Explaining heterogeneity in meta-analysis: A comparison of methods. Statistics in Medicine 18: 2693-2708.
28. Wacholder, S., S. Chanock, M. Garcia-Closas, L. El ghormli, and N. Rothman. 2004. Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. JNCI Cancer Spectrum 96: 434-442.
29. Westfall, P. H., and S. S. Young. 1993. Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment. New York: Wiley.