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Volumn 22, Issue 4, 2017, Pages 799-817

A Bayesian "fill-In" Method for Correcting for Publication Bias in Meta-Analysis

Author keywords

Bayesian estimation; meta analysis; missing data; publication bias

Indexed keywords

EFFECT SIZE; HUMAN; LIFE; META ANALYSIS; PRACTICE GUIDELINE; PUBLISHING; SIMULATION; STATISTICAL SIGNIFICANCE; SYSTEMATIC REVIEW; VALIDITY; BAYES THEOREM; META ANALYSIS (TOPIC); PROCEDURES; PSYCHOLOGY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

EID: 85038638270     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/met0000164     Document Type: Article
Times cited : (21)

References (74)
  • 1
    • 0002406529 scopus 로고
    • Influence again: An examination of reviews and studies of gender differences in social influence
    • J. S. Hyde & M. C. Linn (Eds) London, United Kingdom: Johns Hopkins University Press
    • Becker, B. J. (1986). Influence again: An examination of reviews and studies of gender differences in social influence. In J. S. Hyde & M. C. Linn (Eds.), The psychology of gender: Advances through meta-analysis (pp. 178-209). London, United Kingdom: Johns Hopkins University Press.
    • (1986) The Psychology of Gender: Advances Through Meta-analysis , pp. 178-209
    • Becker, B.J.1
  • 3
  • 4
    • 84884702463 scopus 로고    scopus 로고
    • Avoiding zero between-study variance estimates in random-effects meta-analysis
    • Chung, Y., Rabe-Hesketh, S., & Choi, I.-H. (2013). Avoiding zero between-study variance estimates in random-effects meta-analysis. Statistics in Medicine, 32, 4071-4089.
    • (2013) Statistics in Medicine , vol.32 , pp. 4071-4089
    • Chung, Y.1    Rabe-Hesketh, S.2    Choi, I.-H.3
  • 5
    • 84941206223 scopus 로고    scopus 로고
    • Publication bias as a function of study characteristics
    • Coburn, K. M., & Vevea, J. L. (2015). Publication bias as a function of study characteristics. Psychological Methods, 20, 310-330.
    • (2015) Psychological Methods , vol.20 , pp. 310-330
    • Coburn, K.M.1    Vevea, J.L.2
  • 8
    • 84972494529 scopus 로고
    • An approach for assessing publication bias prior to performing a meta-analysis
    • Dear, K. B., & Begg, C. B. (1992). An approach for assessing publication bias prior to performing a meta-analysis. Statistical Science, 237-245.
    • (1992) Statistical Science , pp. 237-245
    • Dear, K.B.1    Begg, C.B.2
  • 9
    • 0033220501 scopus 로고    scopus 로고
    • A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation
    • Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125, 627-667.
    • (1999) Psychological Bulletin , vol.125 , pp. 627-667
    • Deci, E.L.1    Koestner, R.2    Ryan, R.M.3
  • 11
    • 0025100849 scopus 로고
    • The existence of publication bias and risk factors for its occurrence
    • Dickersin, K. (1990). The existence of publication bias and risk factors for its occurrence. Journal of the American Medical Association, 263, 1385-1389.
    • (1990) Journal of the American Medical Association , vol.263 , pp. 1385-1389
    • Dickersin, K.1
  • 12
    • 0030620460 scopus 로고    scopus 로고
    • How important is publication bias? A synthesis of available data
    • Dickersin, K. (1997). How important is publication bias? A synthesis of available data. AIDS Education and Prevention, 9, 15-21.
    • (1997) AIDS Education and Prevention , vol.9 , pp. 15-21
    • Dickersin, K.1
  • 13
    • 85038939903 scopus 로고    scopus 로고
    • Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate-comments and rejoinders
    • Dobson, A., & Dear, K. (1997). Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate-comments and rejoinders. Statistical Science, 12, 245-246.
    • (1997) Statistical Science , vol.12 , pp. 245-246
    • Dobson, A.1    Dear, K.2
  • 14
    • 85038905280 scopus 로고    scopus 로고
    • Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate-comments and rejoinders
    • DuMouchel, W., & Harris, J. (1997). Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate-comments and rejoinders. Statistical Science, 12, 244-245.
    • (1997) Statistical Science , vol.12 , pp. 244-245
    • DuMouchel, W.1    Harris, J.2
  • 15
    • 0442309557 scopus 로고    scopus 로고
    • A nonparametric trim and fill" method of accounting for publication bias in meta-analysis
    • Duval, S., & Tweedie, R. (2000a). A nonparametric "trim and fill" method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95, 89-98.
    • (2000) Journal of the American Statistical Association , vol.95 , pp. 89-98
    • Duval, S.1    Tweedie, R.2
  • 16
    • 0033934949 scopus 로고    scopus 로고
    • Trim and fill: A simple funnel-plotbased method of testing and adjusting for publication bias in metaanalysis
    • Duval, S., & Tweedie, R. (2000b). Trim and fill: A simple funnel-plotbased method of testing and adjusting for publication bias in metaanalysis. Biometrics, 56, 455-463.
    • (2000) Biometrics , vol.56 , pp. 455-463
    • Duval, S.1    Tweedie, R.2
  • 17
  • 18
    • 79952612356 scopus 로고    scopus 로고
    • Missing not at random models for latent growth curve analyses
    • Enders, C. K. (2011). Missing not at random models for latent growth curve analyses. Psychological Methods, 16, 1.
    • (2011) Psychological Methods , vol.16 , pp. 1
    • Enders, C.K.1
  • 20
    • 84861217389 scopus 로고    scopus 로고
    • Publication bias in psychological science: Prevalence, methods for identifying and controlling, and implications for the use of meta-analyses
    • Ferguson, C. J., & Brannick, M. T. (2012). Publication bias in psychological science: Prevalence, methods for identifying and controlling, and implications for the use of meta-analyses. Psychological Methods, 17, 120-128.
    • (2012) Psychological Methods , vol.17 , pp. 120-128
    • Ferguson, C.J.1    Brannick, M.T.2
  • 21
    • 84869028702 scopus 로고    scopus 로고
    • A vast graveyard of undead theories publication bias and psychological science's aversion to the null
    • Ferguson, C. J., & Heene, M. (2012). A vast graveyard of undead theories publication bias and psychological science's aversion to the null. Perspectives on Psychological Science, 7, 555-561.
    • (2012) Perspectives On Psychological Science , vol.7 , pp. 555-561
    • Ferguson, C.J.1    Heene, M.2
  • 22
    • 84907224761 scopus 로고    scopus 로고
    • Publication bias in the social sciences: Unlocking the file drawer
    • Franco, A., Malhotra, N., & Simonovits, G. (2014). Publication bias in the social sciences: Unlocking the file drawer. Science, 345, 1502-1505.
    • (2014) Science , vol.345 , pp. 1502-1505
    • Franco, A.1    Malhotra, N.2    Simonovits, G.3
  • 24
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
    • Gelman, A. (2006). Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper). Bayesian Analysis, 1, 515-534.
    • (2006) Bayesian Analysis , vol.1 , pp. 515-534
    • Gelman, A.1
  • 26
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 457-472.
    • (1992) Statistical Science , pp. 457-472
    • Gelman, A.1    Rubin, D.B.2
  • 27
    • 0002517089 scopus 로고    scopus 로고
    • Introducing Markov chain Monte Carlo
    • W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds) London, United Kingdom: Chapman & Hall
    • Gilks, W. R., Richardson, S., & Spiegelhalter, D. J. (1996). Introducing Markov chain Monte Carlo. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov chain Monte Carlo in practice (pp. 339-357). London, United Kingdom: Chapman & Hall.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 339-357
    • Gilks, W.R.1    Richardson, S.2    Spiegelhalter, D.J.3
  • 28
    • 0347107686 scopus 로고    scopus 로고
    • Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate
    • Givens, G. H., Smith, D., & Tweedie, R. (1997). Publication bias in meta-analysis: A Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate. Statistical Science, 12, 221-240.
    • (1997) Statistical Science , vol.12 , pp. 221-240
    • Givens, G.H.1    Smith, D.2    Tweedie, R.3
  • 31
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings, W. K. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57, 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 32
    • 0001815484 scopus 로고
    • Estimation of effect size under nonrandom sampling: The effects of censoring studies yielding statistically insignificant mean differences
    • Hedges, L. V. (1984). Estimation of effect size under nonrandom sampling: The effects of censoring studies yielding statistically insignificant mean differences. Journal of Educational and Behavioral Statistics, 9, 61-85.
    • (1984) Journal of Educational and Behavioral Statistics , vol.9 , pp. 61-85
    • Hedges, L.V.1
  • 33
    • 84972487962 scopus 로고
    • Modeling publication selection effects in metaanalysis
    • Hedges, L. V. (1992). Modeling publication selection effects in metaanalysis. Statistical Science, 7, 246-255.
    • (1992) Statistical Science , vol.7 , pp. 246-255
    • Hedges, L.V.1
  • 35
    • 0030356911 scopus 로고    scopus 로고
    • Estimating effect size under publication bias: Small sample properties and robustness of a random effects selection model
    • Hedges, L. V., & Vevea, J. L. (1996). Estimating effect size under publication bias: Small sample properties and robustness of a random effects selection model. Journal of Educational and Behavioral Statistics, 21, 299-332.
    • (1996) Journal of Educational and Behavioral Statistics , vol.21 , pp. 299-332
    • Hedges, L.V.1    Vevea, J.L.2
  • 40
    • 0025395097 scopus 로고
    • Gender differences in mathematics performance: A meta-analysis
    • Hyde, J. S., Fennema, E., & Lamon, S. J. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107, 139-155.
    • (1990) Psychological Bulletin , vol.107 , pp. 139-155
    • Hyde, J.S.1    Fennema, E.2    Lamon, S.J.3
  • 41
    • 34548642946 scopus 로고    scopus 로고
    • An exploratory test for an excess of significant findings
    • Ioannidis, J. P., & Trikalinos, T. A. (2007). An exploratory test for an excess of significant findings. Clinical Trials, 4, 245-253.
    • (2007) Clinical Trials , vol.4 , pp. 245-253
    • Ioannidis, J.P.1    Trikalinos, T.A.2
  • 42
    • 84972490741 scopus 로고
    • Selection models and the file drawer problem
    • Iyengar, S., & Greenhouse, J. B. (1988). Selection models and the file drawer problem. Statistical Science, 3, 109-117.
    • (1988) Statistical Science , vol.3 , pp. 109-117
    • Iyengar, S.1    Greenhouse, J.B.2
  • 43
    • 33746129936 scopus 로고    scopus 로고
    • The power of the standard test for the presence of heterogeneity in meta-analysis
    • Jackson, D. (2006). The power of the standard test for the presence of heterogeneity in meta-analysis. Statistics in Medicine, 25, 2688-2699.
    • (2006) Statistics in Medicine , vol.25 , pp. 2688-2699
    • Jackson, D.1
  • 44
    • 84916241549 scopus 로고    scopus 로고
    • Statistical methods for dealing with publication bias in meta-analysis
    • Jin, Z.-C., Zhou, X.-H., & He, J. (2015). Statistical methods for dealing with publication bias in meta-analysis. Statistics in Medicine, 34, 343-360.
    • (2015) Statistics in Medicine , vol.34 , pp. 343-360
    • Jin, Z.-C.1    Zhou, X.-H.2    He, J.3
  • 45
    • 84894246858 scopus 로고    scopus 로고
    • Publication bias in recent meta-analyses
    • Kicinski, M. (2013). Publication bias in recent meta-analyses. PloS One, 8, e81823.
    • (2013) PloS One , vol.8 , pp. e81823
    • Kicinski, M.1
  • 46
    • 23244434820 scopus 로고    scopus 로고
    • How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using winbugs
    • Lambert, P. C., Sutton, A. J., Burton, P. R., Abrams, K. R., & Jones, D. R. (2005). How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using winbugs. Statistics in Medicine, 24, 2401-2428.
    • (2005) Statistics in Medicine , vol.24 , pp. 2401-2428
    • Lambert, P.C.1    Sutton, A.J.2    Burton, P.R.3    Abrams, K.R.4    Jones, D.R.5
  • 47
    • 84963649819 scopus 로고    scopus 로고
    • Comparative performance of heterogeneity variance estimators in meta-analysis: A review of simulation studies
    • Langan, D., Higgins, J., & Simmonds, M. (2017). Comparative performance of heterogeneity variance estimators in meta-analysis: A review of simulation studies. Research Synthesis Methods, 8, 181-198. http://dx.doi.org/10.1002/jrsm.1198
    • (2017) Research Synthesis Methods , vol.8 , pp. 181-198
    • Langan, D.1    Higgins, J.2    Simmonds, M.3
  • 51
    • 2542567331 scopus 로고    scopus 로고
    • The persistence of underpowered studies in psychological research: Causes, consequences, and remedies
    • Maxwell, S. E. (2004). The persistence of underpowered studies in psychological research: Causes, consequences, and remedies. Psychological Methods, 9, 147-163.
    • (2004) Psychological Methods , vol.9 , pp. 147-163
    • Maxwell, S.E.1
  • 54
    • 0345040656 scopus 로고    scopus 로고
    • How to use a Monte Carlo study to decide on sample size and determine power
    • Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 9, 599-620.
    • (2002) Structural Equation Modeling , vol.9 , pp. 599-620
    • Muthén, L.K.1    Muthén, B.O.2
  • 55
    • 35648956134 scopus 로고    scopus 로고
    • Performance of the trim and fill method in the presence of publication bias and between-study heterogeneity
    • Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R., & Rushton, L. (2007). Performance of the trim and fill method in the presence of publication bias and between-study heterogeneity. Statistics in Medicine, 26, 4544-4562.
    • (2007) Statistics in Medicine , vol.26 , pp. 4544-4562
    • Peters, J.L.1    Sutton, A.J.2    Jones, D.R.3    Abrams, K.R.4    Rushton, L.5
  • 56
    • 33746341926 scopus 로고
    • The file drawer problem and tolerance for null results
    • Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86, 638-641.
    • (1979) Psychological Bulletin , vol.86 , pp. 638-641
    • Rosenthal, R.1
  • 58
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-592.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 60
    • 0000426733 scopus 로고    scopus 로고
    • Nonparametric classes of weight functions to model publication bias
    • Silliman, N. P. (1997). Nonparametric classes of weight functions to model publication bias. Biometrika, 84, 909-918.
    • (1997) Biometrika , vol.84 , pp. 909-918
    • Silliman, N.P.1
  • 62
    • 84911110630 scopus 로고    scopus 로고
    • P-curve and effect size correcting for publication bias using only significant results
    • Simonsohn, U., Nelson, L. D., & Simmons, J. P. (2014b). P-curve and effect size correcting for publication bias using only significant results. Perspectives on Psychological Science, 9, 666-681.
    • (2014) Perspectives On Psychological Science , vol.9 , pp. 666-681
    • Simonsohn, U.1    Nelson, L.D.2    Simmons, J.P.3
  • 63
    • 38149051387 scopus 로고    scopus 로고
    • Meta-regression methods for detecting and estimating empirical effects in the presence of publication selection
    • Stanley, T. D. (2008). Meta-regression methods for detecting and estimating empirical effects in the presence of publication selection. Oxford Bulletin of Economics and Statistics, 70, 103-127.
    • (2008) Oxford Bulletin of Economics and Statistics , vol.70 , pp. 103-127
    • Stanley, T.D.1
  • 64
    • 84959372075 scopus 로고    scopus 로고
    • Meta-regression approximations to reduce publication selection bias
    • Stanley, T. D., & Doucouliagos, H. (2014). Meta-regression approximations to reduce publication selection bias. Research Synthesis Methods, 5, 60-78.
    • (2014) Research Synthesis Methods , vol.5 , pp. 60-78
    • Stanley, T.D.1    Doucouliagos, H.2
  • 65
    • 0002935408 scopus 로고
    • Publication decisions and their possible effects on inferences drawn from tests of significance-or vice versa
    • Sterling, T. D. (1959). Publication decisions and their possible effects on inferences drawn from tests of significance-or vice versa. Journal of the American Statistical Association, 54, 30-34.
    • (1959) Journal of the American Statistical Association , vol.54 , pp. 30-34
    • Sterling, T.D.1
  • 67
    • 0027765280 scopus 로고
    • Controversies in meta-analysis: The case of the trials of serum cholesterol reduction
    • 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.
    • (1993) Statistical Methods in Medical Research , vol.2 , pp. 173-192
    • Thompson, S.G.1
  • 69
    • 84989225639 scopus 로고    scopus 로고
    • Conducting meta-analyses based on p-values: Reservations and recommendations for applying p-uniform and p-curve
    • van Aert, R. C., Wicherts, J. M., & van Assen, M. A. (2016). Conducting meta-analyses based on p-values: Reservations and recommendations for applying p-uniform and p-curve. Perspectives on Psychological Science, 11, 713-729. http://dx.doi.org/10.1177/1745691616650874
    • (2016) Perspectives On Psychological Science , vol.11 , pp. 713-729
    • Van Aert, R.C.1    Wicherts, J.M.2    Van Assen, M.A.3
  • 70
    • 84941211202 scopus 로고    scopus 로고
    • Meta-analysis using effect size distributions of only statistically significant studies
    • van Assen, M. A., van Aert, R., & Wicherts, J. M. (2015). Meta-analysis using effect size distributions of only statistically significant studies. Psychological Methods, 20, 293-309.
    • (2015) Psychological Methods , vol.20 , pp. 293-309
    • Van Assen, M.A.1    Van Aert, R.2    Wicherts, J.M.3
  • 71
    • 21844487157 scopus 로고
    • A general linear model for estimating effect size in the presence of publication bias
    • Vevea, J. L., & Hedges, L. V. (1995). A general linear model for estimating effect size in the presence of publication bias. Psychometrika, 60, 419-435.
    • (1995) Psychometrika , vol.60 , pp. 419-435
    • Vevea, J.L.1    Hedges, L.V.2
  • 72
    • 30544451496 scopus 로고    scopus 로고
    • Publication bias in research synthesis: Sensitivity analysis using a priori weight functions
    • Vevea, J. L., & Woods, C. M. (2005). Publication bias in research synthesis: Sensitivity analysis using a priori weight functions. Psychological Methods, 10, 428-443.
    • (2005) Psychological Methods , vol.10 , pp. 428-443
    • Vevea, J.L.1    Woods, C.M.2
  • 73
    • 33846253999 scopus 로고    scopus 로고
    • Confidence intervals for the amount of heterogeneity in meta-analysis
    • Viechtbauer, W. (2007). Confidence intervals for the amount of heterogeneity in meta-analysis. Statistics in Medicine, 26, 37-52.
    • (2007) Statistics in Medicine , vol.26 , pp. 37-52
    • Viechtbauer, W.1
  • 74
    • 23844527237 scopus 로고    scopus 로고
    • The counter-intuitive non-informative prior for the Bernoulli family
    • Zhu, M., & Lu, A. Y. (2004). The counter-intuitive non-informative prior for the Bernoulli family. Journal of Statistics Education, 12, 1-10
    • (2004) Journal of Statistics Education , vol.12 , pp. 1-10
    • Zhu, M.1    Lu, A.Y.2


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