Testing overall and moderator effects in random effects meta-regression

British Journal of Mathematical and Statistical Psychology

Volumn 64, Issue 1, 2011, Pages 1-19

  Huizenga, Hilde M ^a   Visser, Ingmar ^a   Dolan, Conor V ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AGGRESSION; ARTICLE; BEHAVIOR THERAPY; CHILD; CLINICAL TRIAL (TOPIC); COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; INFORMATION PROCESSING; META ANALYSIS (TOPIC); METHODOLOGY; MONTE CARLO METHOD; PSYCHOLOGICAL ASPECT; REGRESSION ANALYSIS; SOCIOECONOMICS; STATISTICAL MODEL; STATISTICS;

AGGRESSION; BEHAVIOR THERAPY; CHILD; CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DATA COLLECTION; EFFECT MODIFIER, EPIDEMIOLOGIC; HUMANS; LIKELIHOOD FUNCTIONS; META-ANALYSIS AS TOPIC; MONTE CARLO METHOD; REGRESSION ANALYSIS; RESEARCH DESIGN; SOCIOECONOMIC FACTORS;

EID: 79751516729     PISSN: 00071102     EISSN: 20448317     Source Type: Journal    
DOI: 10.1348/000711010X522687     Document Type: Article

References (45)

1. Amiet, C., Gourfinkel-An, I., Bouzamondo, A., Tordjman, S., Baulac, M., Lechat, P., ... Cohen, D. (2008). Epilepsy in autism is associated with intellectual disability and gender: Evidence from a meta-analysis. Biological Psychiatry, 64(7), 577-582. doi:
2. Anderson, M. J., & Legendre, P. (1999). An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model. Journal of Statistical Computation and Simulation, 62, 271-303. doi:
3. Barndorff-Nielsen, O. E., & Hall, P. (1988). On the level-error after Bartlett adjustment of the likelihood ratio statistic. Biometrika, 75(2), 374-378. doi:
4. Berkey, C. S., Hoaglin, D. C., Mostellar, F., & Colditz, G. A. (1995). A random effects regression model for meta-analysis. Statistics in Medicine, 14, 395-411. doi:
5. Bond, C. F Jr., Wiitala, W. L., & Richard, F. D. (2003). Meta-analysis of raw mean differences. Psychological Methods, 8(4), 406-418. doi:
6. Browne, M. W., & Arminger, G. (1995). Specification and estimation of mean-and-covariance structure models. In G. Arminger, C. C. Clogg, & M. E. Sobel (Eds.), Handbook of statistical modeling for the behavioral sciences (pp. 185-241). New York Plenum Press.
7. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159. doi:
8. Cheung, M. W.-L. (2008). A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling. Psychological Methods, 13, 182-202. doi:
9. de Graaf, I., Speetjens, P., Smit, F., de Wolff, M., & Tavecchio, L. (2008). Effectiveness of the triple P positive parenting program on parenting: A meta-analysis. Family Relations, 57(5), 553-566. doi:
10. Dominguez, M. D., Viechtbauer, W., Simons, C. J. P., van Os, J., & Krabbendam, L. (2009). Are psychotic psychopathology and neurocognition orthogonal? A systematic review of their associations. Psychological Bulletin, 135(1), 157-171. doi:
11. Draper, N. R., & Smith, H. (1998). Applied regression analysis (3rd ed.). New York Wiley.
12. Efron, B., & Hinkley, D. V. (1978). Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information. Biometrika, 65(3), 457-487. doi:
13. Field, A. P. (2001). Meta-analysis of correlation coefficients: A Monte Carlo comparison of fixed- and random-effects methods. Psychological Methods, 6(2), 161-180. doi:
14. Follmann, D. A., & Proschan, M. A. (1999). Valid inference in random effects meta-analysis. Biometrics, 55, 732-737. doi:
15. Freedman, D., & Lane, D. (1983). A non-stochastic interpretation of reported significance levels. Journal of Business and Economic Statistics, 1, 292-298. doi:
16. Hardy, R. J., & Thompson, S. G. (1996). A likelihood approach to meta-analysis with random effects. Statistics in Medicine, 15, 619-629. doi:10.1002/(SICI)1097-0258(19960330)15:6<619::AID-SIM188>3.0.CO;2-A
17. Hedges, L. V., & Pigott, T. D. (2004). The power of statistical tests for moderators in meta-analysis. Psychological Methods, 9, 426-445. doi:
18. Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539-1558. doi:
19. Higgins, J. P. T., & Thompson, S. G. (2004). Controlling the risk of spurious findings from meta-regression. Statistics in Medicine, 23, 1663-1682. doi:
20. Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009). A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society, Series A, 172, 137-159. doi:
21. Knapp, G., & Hartung, J. (2003). Improved tests for a random effects meta-regression with a single covariate. Statistics in Medicine, 22, 2693-2710. doi:
22. Kowalski, J., & Tu, M. (2007). Modern applied U statistics. Hoboken, NJ Wiley.
23. Lehmann, E. L., & Casella, G. (1998). Theory of point estimation. New York Springer-Verlag.
24. Manor, O., & Zucker, D. M. (2004). Small sample inference for the fixed effects in the mixed linear model. Computational Statistics and Data Analysis, 46, 801-817. doi:
25. Miller, I., & Miller, M. (1992). John E. Freund's mathematical statistics (6th ed.). Upper Saddle River, NJ Prentice Hall.
26. Moskowitz, J. T., Hult, J. R., Bussolari, C., & Acree, M. (2009). What works in coping with HIV? A meta-analysis with implications for coping with serious illness. Psychological Bulletin, 135(1), 121-141. doi:
27. Nichols, T. E., & Holmes, A. P. (2001). Nonparametric permutation tests for functional neuroimaging: A primer with examples. Human Brain Mapping, 15, 1-25. doi:
28. Normand, S.-L. T. (1999). Tutorial in biostatistics: Meta-analysis: Formulating, evaluating, combining, and reporting. Statistics in Medicine, 18, 321-359. doi:10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P
29. Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135(2), 322-338. doi:
30. Powers, M. B., Vedel, E., & Emmelkamp, P. M. G. (2008). Behavioral couples therapy (BCT) for alcohol and drug use disorders: A meta-analysis. Clinical Psychology Review, 28(6), 952-962. doi:
31. Raghunathan, T. E., & Ii, Y. (1993). Analysis of binary data from a multicentre clinical trial. Biometrika, 80, 127-139. doi:
32. Raudenbush, S. W. (1994). Random effects models. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 301-321). New York Russell Sage Foundation.
33. Sackett, P. R., Kuncel, N. R., Arneson, J. J., Cooper, S. R., & Waters, W. D. (2009). Does socioeconomic status explain the relationship between admissions tests and post-secondary academic performance? Psychological Bulletin, 135(1), 1-22. doi:
34. Sánchez-Meca, J., & Marín-Martínez, F. (2008). Confidence intervals for the overall effect size in random-effects meta-analysis. Psychological Methods, 13(1), 31-48. doi:
35. Schmidt, F. L., Oh, I.-S., & Hayes, T. L. (2009). Fixed versus random effects models in meta-analysis: Model properties and an empirical comparison of differences in results. British Journal of Mathematical and Statistical Psychology, 62, 97-128. doi:
36. Seber, G. A. F., & Wild, C. J. (1989). Non-linear regression. New York Wiley.
37. Sio, U. N., & Ormerod, T. C. (2009). Does incubation enhance problem solving? A meta-analytic review. Psychological Bulletin, 135(1), 94-120. doi:
38. Stram, D. O. (1996). Meta-analysis of published data using a linear mixed effects model. Biometrics, 52, 536-544. doi:
39. Thomas, J. J., Vartanian, L. R., & Brownell, K. D. (2009). The relationship between eating disorder not otherwise specified (EDNOS) and officially recognized eating disorders: Meta-analysis and implications for DSM. Psychological Bulletin, 135(3), 407-433. doi:
40. Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21, 1559-1573. doi:
41. Van Houwelingen, H. C., Arends, L. R., & Stijnen, T. (2002). Tutorial in biostatistics: Advanced methods in meta-analysis: Multivariate approach and meta-regression. Statistics in Medicine, 21, 589-624. doi:
42. Viechtbauer, W. (2007). Hypothesis tests for population heterogeneity in meta-analysis. British Journal of Mathematical and Statistical Psychology, 60, 29-60. doi:
43. Wang, H., Qi, H., Wang, B. S., Cui, Y. Y., Zhu, L., Rong, Z. X., & Chen, H. Z. (2008). Is acupuncture beneficial in depression: A meta-analysis of 8 randomized controlled trials? Journal of Affective Disorders, 111(2-3), 125-134. doi:
44. Weber, B., & Hertel, G. (2007). Motivation gains of inferior group members: A meta-analytical review. Journal of Personality and Social Psychology, 93(6), 973-993. doi:
45. Zucker, D. M., Lieberman, O., & Manor, O. (2000). Improved small sample inference in the mixed linear model: Bartlett correction and adjusted likelihood. Journal of the Royal Statistical Society, Series B, 62(4), 827-838. doi: